Triple
T10807888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton’s compactness theorem |
E255015
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object |
Hamilton’s program for the Ricci flow
Hamilton’s program for the Ricci flow is a geometric analysis framework that uses Ricci flow and related tools to systematically deform and analyze Riemannian metrics in order to classify the topology of three-dimensional manifolds.
|
E896164
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hamilton’s program for the Ricci flow | Statement: [Hamilton’s compactness theorem, usedIn, Hamilton’s program for the Ricci flow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamilton’s program for the Ricci flow Context triple: [Hamilton’s compactness theorem, usedIn, Hamilton’s program for the Ricci flow]
-
A.
Hamilton’s compactness theorem for Ricci flow
Hamilton’s compactness theorem for Ricci flow is a fundamental result in geometric analysis that provides conditions under which a sequence of Ricci flows on Riemannian manifolds subconverges to a limiting Ricci flow, enabling powerful compactness and convergence arguments in the study of geometric evolution.
-
B.
Hamilton’s Harnack inequalities for Ricci flow
Hamilton’s Harnack inequalities for Ricci flow are fundamental differential inequalities that provide monotonicity and curvature control along solutions to the Ricci flow, playing a key role in the analysis of geometric evolution and singularity formation.
-
C.
"Finite extinction time for the solutions to the Ricci flow on certain three-manifolds"
"Finite extinction time for the solutions to the Ricci flow on certain three-manifolds" is a landmark mathematical paper by Grigori Perelman that advances the analysis of Ricci flow in three dimensions and plays a key role in his proof of the Poincaré conjecture.
-
D.
Ricci flow
Ricci flow is a geometric evolution equation that smoothly deforms the metric of a Riemannian manifold in a way analogous to heat diffusion, playing a central role in Grigori Perelman's proof of the Poincaré conjecture.
-
E.
Kähler–Ricci flow
Kähler–Ricci flow is a geometric evolution equation that deforms Kähler metrics on complex manifolds according to their Ricci curvature, playing a central role in complex differential geometry and the study of canonical metrics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hamilton’s program for the Ricci flow Triple: [Hamilton’s compactness theorem, usedIn, Hamilton’s program for the Ricci flow]
Generated description
Hamilton’s program for the Ricci flow is a geometric analysis framework that uses Ricci flow and related tools to systematically deform and analyze Riemannian metrics in order to classify the topology of three-dimensional manifolds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamilton’s program for the Ricci flow Target entity description: Hamilton’s program for the Ricci flow is a geometric analysis framework that uses Ricci flow and related tools to systematically deform and analyze Riemannian metrics in order to classify the topology of three-dimensional manifolds.
-
A.
Hamilton’s compactness theorem for Ricci flow
Hamilton’s compactness theorem for Ricci flow is a fundamental result in geometric analysis that provides conditions under which a sequence of Ricci flows on Riemannian manifolds subconverges to a limiting Ricci flow, enabling powerful compactness and convergence arguments in the study of geometric evolution.
-
B.
Hamilton’s Harnack inequalities for Ricci flow
Hamilton’s Harnack inequalities for Ricci flow are fundamental differential inequalities that provide monotonicity and curvature control along solutions to the Ricci flow, playing a key role in the analysis of geometric evolution and singularity formation.
-
C.
"Finite extinction time for the solutions to the Ricci flow on certain three-manifolds"
"Finite extinction time for the solutions to the Ricci flow on certain three-manifolds" is a landmark mathematical paper by Grigori Perelman that advances the analysis of Ricci flow in three dimensions and plays a key role in his proof of the Poincaré conjecture.
-
D.
Ricci flow
Ricci flow is a geometric evolution equation that smoothly deforms the metric of a Riemannian manifold in a way analogous to heat diffusion, playing a central role in Grigori Perelman's proof of the Poincaré conjecture.
-
E.
Kähler–Ricci flow
Kähler–Ricci flow is a geometric evolution equation that deforms Kähler metrics on complex manifolds according to their Ricci curvature, playing a central role in complex differential geometry and the study of canonical metrics.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b506488190921e6a1f4168dd9e |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d6a7b8c481908249acfffc97b08a |
completed | April 18, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_69e2fab58f588190ae2d33f32e71333b |
completed | April 18, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e317809c0881909e793db965194014 |
completed | April 18, 2026, 5:32 a.m. |
Created at: April 8, 2026, 9:18 p.m.