Triple

T12497939
Position Surface form Disambiguated ID Type / Status
Subject Pat O’Brien E298740 entity
Predicate notableWork P4 FINISHED
Object Boy Meets Girl E913241 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: Boy Meets Girl | Statement: [Pat O’Brien, notableWork, Boy Meets Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boy Meets Girl
Context triple: [Pat O’Brien, notableWork, Boy Meets Girl]
  • A. Boy Meets Girl chosen
    Boy Meets Girl is a 1984 French black-and-white romantic drama film, marking Leos Carax’s feature debut and showcasing his distinctive poetic and visually stylized filmmaking.
  • B. Boy Meets Girl
    Boy Meets Girl is an American pop duo best known for their 1988 hit single "Waiting for a Star to Fall."
  • C. Girl Meets Boy
    Girl Meets Boy is a contemporary novel by Ali Smith that reimagines the myth of Iphis and Ianthe as a modern queer love story exploring gender, identity, and storytelling.
  • D. A Guy with a Girl
    "A Guy with a Girl" is a country song by American singer Blake Shelton, released as a single from his 2016 album "If I'm Honest."
  • E. The Girl Friend
    The Girl Friend is a 1926 Broadway musical comedy with music by Richard Rodgers and lyrics by Lorenz Hart that helped establish their early success on the New York stage.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfa98348190b9ac164ecdada6fe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64baf73188190af29b57f8ae9253f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.