Triple

T6819595
Position Surface form Disambiguated ID Type / Status
Subject Frank H. Westheimer E156862 entity
Predicate notableStudent P4838 FINISHED
Object Jeremy R. Knowles E383762 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: Jeremy R. Knowles | Statement: [Frank H. Westheimer, notableStudent, Jeremy R. Knowles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy R. Knowles
Context triple: [Frank H. Westheimer, notableStudent, Jeremy R. Knowles]
  • A. Jeremy R. Knowles chosen
    Jeremy R. Knowles was a prominent British-born chemist known for his influential work in physical organic chemistry and enzymology, as well as his leadership as Dean of Harvard University's Faculty of Arts and Sciences.
  • B. Stephen M. Kellen
    Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
  • C. Edward Knowles
    Edward Knowles is an architect best known for his role in designing the modernist Boston City Hall.
  • D. Michael T. Williamson
    Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
  • E. Jeremy M. Inman
    Jeremy M. Inman is a filmmaker best known for directing low-budget fantasy and superhero mockbuster films such as "Avengers Grimm."
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d35781e88190a45d1386706d4422 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad6644f4819080db0a3981470d96 completed March 28, 2026, 10:28 a.m.
Created at: March 27, 2026, 2:17 p.m.