Triple
T2306398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Pierre Serre |
E51848
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Local Fields
"Local Fields" is a foundational mathematical text by Jean-Pierre Serre that develops the theory of local fields and their applications in number theory and algebraic geometry.
|
E253119
|
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: Local Fields | Statement: [Jean-Pierre Serre, notableWork, Local Fields]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Local Fields Context triple: [Jean-Pierre Serre, notableWork, Local Fields]
-
A.
Regions Field
Regions Field is a modern minor league baseball stadium in Birmingham, Alabama, serving as the home of the Birmingham Barons.
-
B.
Field
Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
-
C.
Fields
Fields is a common English surname borne by numerous notable individuals across diverse fields such as entertainment, sports, and academia.
-
D.
Flatlands
Flatlands is a residential neighborhood in southeastern Brooklyn, New York City, known for its low-rise housing, suburban feel, and diverse community.
-
E.
Localish
Localish is a lifestyle-focused digital media brand and programming initiative that produces short-form, feel-good stories about local communities, food, and culture across the United States.
- 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: Local Fields Triple: [Jean-Pierre Serre, notableWork, Local Fields]
Generated description
"Local Fields" is a foundational mathematical text by Jean-Pierre Serre that develops the theory of local fields and their applications in number theory and algebraic geometry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Local Fields Target entity description: "Local Fields" is a foundational mathematical text by Jean-Pierre Serre that develops the theory of local fields and their applications in number theory and algebraic geometry.
-
A.
Regions Field
Regions Field is a modern minor league baseball stadium in Birmingham, Alabama, serving as the home of the Birmingham Barons.
-
B.
Field
Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
-
C.
Fields
Fields is a common English surname borne by numerous notable individuals across diverse fields such as entertainment, sports, and academia.
-
D.
Flatlands
Flatlands is a residential neighborhood in southeastern Brooklyn, New York City, known for its low-rise housing, suburban feel, and diverse community.
-
E.
Localish
Localish is a lifestyle-focused digital media brand and programming initiative that produces short-form, feel-good stories about local communities, food, and culture across the United States.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc60489c881908b0ba76d2075bc89 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f379bbc8190b085b82e2e16401e |
completed | March 9, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_69ae8004fb6c81908f9fb1678f608419 |
completed | March 9, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae809ebfdc8190ae404d5711a58b59 |
completed | March 9, 2026, 8:11 a.m. |
Created at: March 4, 2026, 7:49 p.m.