Triple

T19359086
Position Surface form Disambiguated ID Type / Status
Subject The Name of the Game E484227 entity
Predicate executiveProducer P7225 FINISHED
Object Richard Irving 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: Richard Irving | Statement: [The Name of the Game, executiveProducer, Richard Irving]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Irving
Context triple: [The Name of the Game, executiveProducer, Richard Irving]
  • A. Richard Irving chosen
    Richard Irving was a television producer best known for his work on American TV series such as "The Name of the Game."
  • B. Arthur Irving
    Arthur Irving is a Canadian billionaire businessman best known for leading and expanding the Irving Oil empire founded by his family.
  • C. William Ruthven
    William Ruthven was an Australian soldier and politician best known as a recipient of the Victoria Cross for his bravery during World War I.
  • D. James Dergavel Irving
    James Dergavel Irving was a Canadian businessman best known as the patriarch who established the Irving family's influential industrial and business dynasty in New Brunswick.
  • E. Bernard Loftus
    Bernard Loftus was a film editor known for his work on early 20th-century cinema, including the British crime film "Daughter of Shanghai."
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190b343c81909734ba776fd196dc completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.