Triple

T11383534
Position Surface form Disambiguated ID Type / Status
Subject Howard Lutnick E269656 entity
Predicate name P16 FINISHED
Object Howard Lutnick E269656 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: Howard Lutnick | Statement: [Howard Lutnick, name, Howard Lutnick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Lutnick
Context triple: [Howard Lutnick, name, Howard Lutnick]
  • A. Howard Lutnick chosen
    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.
  • B. Robert Kravis
    Robert Kravis is a film producer best known for his work on the crime thriller "Lucky Number Slevin."
  • C. John C. Malone
    John C. Malone is an American billionaire businessman and influential media and telecommunications investor often dubbed the "Cable Cowboy" for building a vast cable and broadband empire.
  • D. Charles F. Dolan
    Charles F. Dolan is an American cable television pioneer and media executive best known as the founder of HBO and Cablevision.
  • E. Kenneth G. Langone
    Kenneth G. Langone is an American billionaire businessman, investor, and philanthropist best known as a co-founder of Home Depot and a major benefactor of New York University.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc34f1f0819082dd977313ee6070 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58bff6574819089bd63266b97a734 completed April 20, 2026, 2:14 a.m.
Created at: April 8, 2026, 9:34 p.m.