Triple

T2342012
Position Surface form Disambiguated ID Type / Status
Subject Stanley Donen E45045 entity
Predicate directed P7373 FINISHED
Object Funny Face E43624 NE 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: Funny Face | Statement: [Stanley Donen, directed, Funny Face]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funny Face
Context triple: [Stanley Donen, directed, Funny Face]
  • A. Funny Face chosen
    Funny Face is a 1957 musical romantic comedy film starring Audrey Hepburn and Fred Astaire, celebrated for its fashion-forward Paris setting, iconic dance numbers, and classic songs.
  • B. Smilin'
    "Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
  • C. Fun and Fancy Free
    Fun and Fancy Free is a 1947 Disney animated package film that combines the stories "Bongo" and "Mickey and the Beanstalk," featuring classic characters like Mickey Mouse, Donald Duck, and Goofy.
  • D. Smile
    "Smile" is a 2020 pop album by American singer Katy Perry that explores themes of resilience, self-acceptance, and personal growth.
  • E. Nobody's Smiling
    "Nobody's Smiling" is a 2014 studio album by American rapper Common that explores themes of violence, struggle, and hope in his hometown of Chicago.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6ad01fc81909e386986e9acc989 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea88113988190b89abfc01f5bf6f4 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:52 p.m.