Triple

T23877931
Position Surface form Disambiguated ID Type / Status
Subject Sacheen Littlefeather declined the Best Actor award on behalf of Marlon Brando E600117 entity
Predicate awardWasFor P107 FINISHED
Object performance as Vito Corleone 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: performance as Vito Corleone | Statement: [Sacheen Littlefeather declined the Best Actor award on behalf of Marlon Brando, awardWasFor, performance as Vito Corleone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: awardWasFor
Context triple: [Sacheen Littlefeather declined the Best Actor award on behalf of Marlon Brando, awardWasFor, performance as Vito Corleone]
  • A. awardFor chosen
    Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
  • B. awardConferred
    Indicates that an award or honor has been formally granted by one entity to another.
  • C. awardReceived
    Indicates that an entity has been granted or honored with a specific award or recognition.
  • D. awardReceivedWith
    Indicates that an entity received a specific award, optionally together with additional contextual details such as the work, role, or circumstances associated with that award.
  • E. awardCreated
    Indicates that an award was established or instituted by a particular agent or 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_69e295318e148190b9979d8fc02e168f completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cc032c9c81909986ae6f672c1ad1 completed April 29, 2026, 9:14 a.m.
PD Predicate disambiguation batch_69f1614a65a88190bde1efb368a151e4 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:23 p.m.