Triple

T20690621
Position Surface form Disambiguated ID Type / Status
Subject Atiyah–Segal axioms E508539 entity
Predicate namedAfter P63 FINISHED
Object Graeme Segal NE NERFINISHED

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: [Atiyah–Segal axioms, namedAfter, Graeme Segal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graeme Segal
Context triple: [Atiyah–Segal axioms, namedAfter, 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. David Segal
    David Segal is a progressive activist and former Rhode Island state legislator best known for co-founding the digital civil liberties and advocacy organization Demand Progress.
  • D. Stuart Blumberg
    Stuart Blumberg is an American screenwriter, director, and producer best known for his work on character-driven independent films, including the acclaimed drama "The Kids Are All Right."
  • E. Garth Drabinsky
    Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10d83548190a52b9ef84c8f9205 completed April 21, 2026, 12:13 a.m.
Created at: April 16, 2026, 12:08 p.m.