Triple

T8430451
Position Surface form Disambiguated ID Type / Status
Subject Gloria Stuart E199101 entity
Predicate screenActorsGuildAwardWinner P50314 FINISHED
Object yes 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: yes | Statement: [Gloria Stuart, screenActorsGuildAwardWinner, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: screenActorsGuildAwardWinner
Context triple: [Gloria Stuart, screenActorsGuildAwardWinner, yes]
  • A. screenActorsGuildMember chosen
    Indicates that one entity is a member of the Screen Actors Guild (SAG), representing a formal affiliation with this actors' labor union.
  • B. academyAwardForBestActress
    Indicates that an entity received the Academy Award for Best Actress in a leading role.
  • C. supportingActorAwardRecipient
    Indicates that an entity has received an award specifically for a supporting acting role in a performance or production.
  • D. academyAwardWinningPerformances
    Indicates that the performances in question have won an Academy Award (Oscar) for acting.
  • E. leadingActressNominee
    Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe30fba4081908bfdef3faf5baceb completed March 31, 2026, 3:06 p.m.
PD Predicate disambiguation batch_69cbd0ec200c8190b0299e2b0b4bdcc2 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:07 p.m.