Triple

T1213858
Position Surface form Disambiguated ID Type / Status
Subject Roy Vagelos E26063 entity
Predicate familyName P18 FINISHED
Object Vagelos E26063 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: Vagelos | Statement: [Roy Vagelos, familyName, Vagelos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vagelos
Context triple: [Roy Vagelos, familyName, Vagelos]
  • A. Roy Vagelos chosen
    Roy Vagelos is an American physician, scientist, and former CEO of Merck & Co., renowned for his leadership in the pharmaceutical industry and major philanthropic support of medical education.
  • B. Laurence Tisch
    Laurence Tisch was an American businessman and investor best known as the co-owner of Loews Corporation and former CEO of CBS.
  • C. John F. Lehman
    John F. Lehman is an American politician and former Secretary of the Navy who later served as a commissioner on the 9/11 Commission.
  • D. Sanford I. Weill
    Sanford I. Weill is an American banker and philanthropist best known for building Citigroup into a financial giant and for his major philanthropic contributions to education and medicine.
  • E. Sidney Kimmel
    Sidney Kimmel is an American businessman and film producer known for founding the apparel company Jones New York and producing numerous Hollywood films through his company Sidney Kimmel Entertainment.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be024e448190ba263a0cc5cc9cd5 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f71aaa481909736d21705744341 completed March 7, 2026, 8:49 p.m.
Created at: March 1, 2026, 7:46 p.m.