Triple

T36934269
Position Surface form Disambiguated ID Type / Status
Subject Audience Award E913569 entity
Predicate mayBeGivenFor P12882 FINISHED
Object feature film LITERAL 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: feature film | Statement: [Audience Award, mayBeGivenFor, feature film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayBeGivenFor
Context triple: [Audience Award, mayBeGivenFor, feature film]
  • A. mayBeGivenTo
    Indicates that something is permitted or eligible to be transferred, assigned, or provided from one entity to another.
  • B. mayProvideFor
    Indicates that one entity is permitted or has the option to supply, support, or otherwise furnish something for another entity.
  • C. mayAlsoBeProvidedAs
    Indicates that something can optionally be supplied or made available in an alternative form or manner in addition to its primary provision.
  • D. givenFor chosen
    Indicates that something is provided, offered, or assigned in favor of or on behalf of a particular entity or purpose.
  • E. canGive
    Indicates that one entity has the ability or permission to transfer something to another entity.
  • 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_69f76e896c988190880c130e01303dd4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcec5f8b448190b48330a19b462d24 completed May 7, 2026, 7:47 p.m.
PD Predicate disambiguation batch_69fceaf1e23881908ca24160a638e329 completed May 7, 2026, 7:41 p.m.
Created at: May 3, 2026, 4:13 p.m.