Triple

T25444028
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Actor for Midnight Cowboy E637580 entity
Predicate filmWonAcademyAwardFor P158837 FINISHED
Object Best Adapted Screenplay 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: Best Adapted Screenplay | Statement: [Academy Award for Best Actor for Midnight Cowboy, filmWonAcademyAwardFor, Best Adapted Screenplay]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmWonAcademyAwardFor
Context triple: [Academy Award for Best Actor for Midnight Cowboy, filmWonAcademyAwardFor, Best Adapted Screenplay]
  • A. filmWonAcademyAwardFor chosen
    Indicates that a film received an Academy Award (Oscar) in a specified category or for a particular achievement.
  • B. associatedAwardWinningFilm
    Indicates that there is a relationship between an entity and a film with which it is connected, where that film has received an award.
  • C. oscarAward
    Indicates that an entity has received or been honored with an Academy Award (Oscar).
  • D. 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.
  • E. oscarCategoryWon
    Indicates that an entity has won an Academy Award in the specified Oscar category.
  • F. None of above.

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_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f7028a5c8190b32720973dd5f45e completed May 2, 2026, 1:07 p.m.
PD Predicate disambiguation batch_69f49377411c8190b2188de444d76795 completed May 1, 2026, 11:50 a.m.
Created at: April 21, 2026, 2 p.m.