Triple
T16574843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikhail Gromov |
E402682
|
entity |
| Predicate | notableFor |
P22
|
FINISHED |
| Object |
Gromov–Hausdorff distance
The Gromov–Hausdorff distance is a metric that quantifies how far apart two compact metric spaces are from being isometric, playing a central role in modern metric geometry and geometric group theory.
|
E1223058
|
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: Gromov–Hausdorff distance | Statement: [Mikhail Gromov, notableFor, Gromov–Hausdorff distance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gromov–Hausdorff distance Context triple: [Mikhail Gromov, notableFor, Gromov–Hausdorff distance]
-
A.
Hausdorff metric
The Hausdorff metric is a distance function that measures how far two subsets of a metric space are from each other, widely used in topology, geometry, and shape analysis.
-
B.
Banach–Mazur distance
The Banach–Mazur distance is a numerical measure in functional analysis that quantifies how "far apart" two finite-dimensional normed vector spaces are up to linear isomorphism.
-
C.
Cheeger–Gromov compactness theorem
The Cheeger–Gromov compactness theorem is a fundamental result in Riemannian geometry that gives conditions under which a sequence of Riemannian manifolds has a subsequence converging (in the Gromov–Hausdorff or smooth sense) to a limit space.
-
D.
Hausdorff measure
Hausdorff measure is a fundamental concept in geometric measure theory that generalizes the notion of length, area, and volume to sets with arbitrary fractal or irregular structure in metric spaces.
-
E.
Metric Structures for Riemannian and Non-Riemannian Spaces
"Metric Structures for Riemannian and Non-Riemannian Spaces" is a foundational monograph by Mikhail Gromov that systematically develops the theory of metric spaces and its applications to Riemannian geometry, geometric group theory, and global analysis.
- 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: Gromov–Hausdorff distance Triple: [Mikhail Gromov, notableFor, Gromov–Hausdorff distance]
Generated description
The Gromov–Hausdorff distance is a metric that quantifies how far apart two compact metric spaces are from being isometric, playing a central role in modern metric geometry and geometric group theory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gromov–Hausdorff distance Target entity description: The Gromov–Hausdorff distance is a metric that quantifies how far apart two compact metric spaces are from being isometric, playing a central role in modern metric geometry and geometric group theory.
-
A.
Hausdorff metric
The Hausdorff metric is a distance function that measures how far two subsets of a metric space are from each other, widely used in topology, geometry, and shape analysis.
-
B.
Banach–Mazur distance
The Banach–Mazur distance is a numerical measure in functional analysis that quantifies how "far apart" two finite-dimensional normed vector spaces are up to linear isomorphism.
-
C.
Cheeger–Gromov compactness theorem
The Cheeger–Gromov compactness theorem is a fundamental result in Riemannian geometry that gives conditions under which a sequence of Riemannian manifolds has a subsequence converging (in the Gromov–Hausdorff or smooth sense) to a limit space.
-
D.
Hausdorff measure
Hausdorff measure is a fundamental concept in geometric measure theory that generalizes the notion of length, area, and volume to sets with arbitrary fractal or irregular structure in metric spaces.
-
E.
Metric Structures for Riemannian and Non-Riemannian Spaces
"Metric Structures for Riemannian and Non-Riemannian Spaces" is a foundational monograph by Mikhail Gromov that systematically develops the theory of metric spaces and its applications to Riemannian geometry, geometric group theory, and global analysis.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595bbbbc8190b023f4872908c031 |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007595cfd08190bae54d29427a1d3c |
completed | May 10, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_6a00796f21c481908a41ffc7658bd0e4 |
completed | May 10, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007a14bfb481908cf94bfcde7d9de4 |
completed | May 10, 2026, 12:29 p.m. |
Created at: April 10, 2026, 5:16 a.m.