Triple

T18248159
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Pileggi E437007 entity
Predicate employer P7 FINISHED
Object Associated Press NE NERFINISHED

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: Associated Press | Statement: [Nicholas Pileggi, employer, Associated Press]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Associated Press
Context triple: [Nicholas Pileggi, employer, Associated Press]
  • A. Associated Press chosen
    The Associated Press is a major American not-for-profit news agency and cooperative known for its global news coverage and influential photojournalism.
  • B. United Press International
    United Press International is a major American news agency known for providing global news coverage, wire services, and syndicated content to media outlets worldwide.
  • C. National Newspaper Service
    National Newspaper Service is a newspaper syndication company that distributed comic strips and features, notably including the Buck Rogers series.
  • D. Agence France-Presse
    Agence France-Presse is a major international news agency headquartered in Paris that provides global news coverage to media outlets worldwide.
  • E. Reuters
    Reuters is a major international news agency and media organization known for providing real-time news and financial information to outlets and markets worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e89b288190a286797ec2cd60a8 completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.