Triple

T14984722
Position Surface form Disambiguated ID Type / Status
Subject Allen Questrom E373670 entity
Predicate hasFamilyName P18 FINISHED
Object Questrom E76292 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: Questrom | Statement: [Allen Questrom, hasFamilyName, Questrom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Questrom
Context triple: [Allen Questrom, hasFamilyName, Questrom]
  • A. Questrom School of Business chosen
    Questrom School of Business is Boston University's business school, offering undergraduate, graduate, and executive programs in business and management.
  • B. Swasey
    Swasey is a surname of English origin borne by various notable individuals, including architects, politicians, and academics.
  • C. Olin
    Olin is a masculine given name of English origin, historically borne by figures such as the American sculptor Olin Levi Warner.
  • D. Kogod
    Kogod is the business school of American University in Washington, D.C., offering undergraduate and graduate programs in business and management.
  • E. Tepper
    Tepper is a surname most prominently associated with American billionaire hedge fund manager and Carolina Panthers owner David Tepper.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6ff4a7c8190ab7554f3a1a09b67 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bf136e88190b3d812f50233c640 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:52 a.m.