Triple

T16004279
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn Decker E388172 entity
Predicate notableWork P4 FINISHED
Object Grace and Frankie E149571 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: Grace and Frankie | Statement: [Brooklyn Decker, notableWork, Grace and Frankie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grace and Frankie
Context triple: [Brooklyn Decker, notableWork, Grace and Frankie]
  • A. Grace and Frankie chosen
    Grace and Frankie is a Netflix comedy series about two older women who form an unlikely friendship after their husbands leave them for each other.
  • B. The Kominsky Method
    The Kominsky Method is a Netflix comedy-drama series that follows an aging acting coach in Hollywood as he navigates late-life challenges and friendships.
  • C. Maisel
    Maisel is a Jewish surname most notably associated with the historic Prague financier and community leader Mordecai (Moishe) Maisel.
  • D. The In-Laws
    The In-Laws is a 1979 comedy film best known for its absurd, farcical plot and the comedic pairing of Alan Arkin and Peter Falk.
  • E. Café Society
    Café Society is a 2016 romantic comedy-drama film written and directed by Woody Allen, set in 1930s Hollywood and New York, in which Jesse Eisenberg stars as a young man navigating love and ambition in the glamorous café society of the era.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fe776c81908f7bf29ef064a6ba completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dec0c0819099b9007ad0fc6fb4 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.