Triple

T3433723
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Tisch E72397 entity
Predicate name P16 FINISHED
Object Jonathan Tisch E72397 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: Jonathan Tisch | Statement: [Jonathan Tisch, name, Jonathan Tisch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Tisch
Context triple: [Jonathan Tisch, name, Jonathan Tisch]
  • A. Jonathan Tisch chosen
    Jonathan Tisch is an American businessman and philanthropist best known as the chairman and CEO of Loews Hotels and co-owner of the New York Giants.
  • 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. 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.
  • D. David M. Rubenstein
    David M. Rubenstein is an American billionaire investor, philanthropist, and co-founder of the global private equity firm The Carlyle Group.
  • E. Rich Silverstein
    Rich Silverstein is an influential American advertising executive and co-founder of the agency Goodby, Silverstein & Partners, known for iconic campaigns such as “Got Milk?”.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c1d9148190b873ba66d34d4f01 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432f3af6c8190ba09e3ab8fbad7da completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:16 p.m.