Triple

T4356490
Position Surface form Disambiguated ID Type / Status
Subject Sergeant York E98158 entity
Predicate oscarWonBy P10689 FINISHED
Object Gary Cooper E62558 NE FINISHED

How this triple was built (3 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: Gary Cooper | Statement: [Sergeant York, oscarWonBy, Gary Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Cooper
Context triple: [Sergeant York, oscarWonBy, Gary Cooper]
  • A. Gary Cooper chosen
    Gary Cooper was an iconic American film actor renowned for his understated, stoic performances in classic Hollywood films, including major roles in Westerns and dramas.
  • B. Clark Gable
    Clark Gable was a legendary American film actor, best known for his charismatic leading roles in classic Hollywood films such as "Gone with the Wind."
  • C. John Clark Gable
    John Clark Gable is an American former racing driver and the only son of legendary Hollywood actor Clark Gable.
  • D. Glenn Ford
    Glenn Ford was a Canadian-American film actor renowned for his versatile performances in classic Hollywood movies such as "Gilda," "The Big Heat," and "Blackboard Jungle."
  • E. Melvyn Douglas
    Melvyn Douglas was an acclaimed American actor known for his sophisticated screen presence and award-winning performances in both classic Hollywood films and later character roles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oscarWonBy
Context triple: [Sergeant York, oscarWonBy, Gary Cooper]
  • A. oscarCategoryWon
    Indicates that an entity has won an Academy Award in the specified Oscar category.
  • B. oscarAward chosen
    Indicates that an entity has received or been honored with an Academy Award (Oscar).
  • C. academyAwardWins
    Indicates that one entity has won a specified number of Academy Awards (Oscars) or that a winning relationship exists between the entity and the Academy Award.
  • D. academyAwardForBestActress
    Indicates that an entity received the Academy Award for Best Actress in a leading role.
  • E. oscarRecord
    Indicates that an entity has a record or entry associated with the Oscars, such as a nomination, win, or related recognition.
  • F. None of above.

Provenance (4 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c68a588190ba14a298afacb1dc completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc532cd9c8190bb0763f5b78ed32f completed March 20, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69b34f51ed7c8190b7bf5f44b56b730d completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:16 p.m.