Triple

T8650502
Position Surface form Disambiguated ID Type / Status
Subject David Tepper E205087 entity
Predicate name P16 FINISHED
Object David Tepper E205087 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: David Tepper | Statement: [David Tepper, name, David Tepper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Tepper
Context triple: [David Tepper, name, David Tepper]
  • A. David Tepper chosen
    David Tepper is an American billionaire hedge fund manager and philanthropist, best known as the founder of Appaloosa Management and as a prominent NFL and MLS team owner.
  • B. Steve Cohen
    Steve Cohen is an American billionaire hedge fund manager and philanthropist who owns the New York Mets Major League Baseball team.
  • C. Micky Arison
    Micky Arison is an Israeli-American billionaire businessman best known as the longtime chairman of Carnival Corporation and owner of the NBA’s Miami Heat.
  • D. Jonathan Tisch
    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.
  • E. Howard Lutnick
    Howard Lutnick is an American businessman best known as the longtime chairman and CEO who rebuilt the financial services firm Cantor Fitzgerald after the September 11 attacks.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48150e6c8190a7a3b92b4b640858 completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccc166548190a1dd706041e4bfa2 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:29 p.m.