Triple

T14744555
Position Surface form Disambiguated ID Type / Status
Subject Tisch family E346433 entity
Predicate hasNotableMember P304 FINISHED
Object Laurence Tisch E71039 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: Laurence Tisch | Statement: [Tisch family, hasNotableMember, Laurence Tisch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurence Tisch
Context triple: [Tisch family, hasNotableMember, Laurence Tisch]
  • A. Laurence Tisch chosen
    Laurence Tisch was an American businessman and investor best known as the co-owner of Loews Corporation and former CEO of CBS.
  • B. Preston Robert Tisch
    Preston Robert Tisch was an American businessman and philanthropist best known as co-owner of the New York Giants and former Postmaster General of the United States.
  • C. Louis M. Silverstein
    Louis M. Silverstein is a film producer known for his work on the comedy movie "Strange Brew."
  • D. Mortimer B. Zuckerman
    Mortimer B. Zuckerman is a Canadian-American media proprietor, real estate magnate, and philanthropist best known for owning U.S. News & World Report and developing major commercial properties.
  • E. James Tisch
    James Tisch is an American businessman best known as a longtime leader of Loews Corporation, a diversified holding company founded by his family.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9638648190a2a3eb255ec5ae28 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.