Triple
T5273880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | topological quantum field theory |
E119326
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | Graeme Segal |
E255581
|
NE FINISHED |
How this triple was built (2 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: Graeme Segal | Statement: [topological quantum field theory, developedBy, Graeme Segal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graeme Segal Context triple: [topological quantum field theory, developedBy, Graeme Segal]
-
A.
Graeme Segal
chosen
Graeme Segal is a British mathematician renowned for his influential work in algebraic topology, K-theory, and mathematical aspects of quantum field theory.
-
B.
Douglas Segal
Douglas Segal is a film producer best known for his work on the action-comedy movie "Bulletproof Monk."
-
C.
Mark Gertler
Mark Gertler was a British painter associated with the early 20th-century Bloomsbury and London art circles, known for his emotionally intense and often modernist works such as "Merry-Go-Round."
-
D.
Mark Gertler
Mark Gertler is an American economist known for his influential work in macroeconomics and monetary economics, particularly on financial frictions and business cycles.
-
E.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7c22a29081908a022847e61af8a9 |
completed | March 20, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06d1f874819098a9b99f8bb9f654 |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:51 p.m.