Triple

T12301589
Position Surface form Disambiguated ID Type / Status
Subject Decision Before Dawn E293237 entity
Predicate hasCharacter P2308 FINISHED
Object Happy E562012 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: Happy | Statement: [Decision Before Dawn, hasCharacter, Happy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happy
Context triple: [Decision Before Dawn, hasCharacter, Happy]
  • A. Happy
    Happy is the nickname of Happy Felsch, an early 20th-century American Major League Baseball outfielder best known for his role in the 1919 Chicago White Sox "Black Sox" scandal.
  • B. Happy
    "Happy" is a song featured as a part of the Justin Bieber concert film and soundtrack "Never Say Never."
  • C. Happy
    "Happy" is a globally popular, upbeat pop-soul song by Pharrell Williams known for its infectious melody and feel-good message.
  • D. Happy chosen
    Happy is the younger son of Willy Loman in Arthur Miller's play "Death of a Salesman," known for his womanizing, insecurity, and pursuit of superficial success.
  • E. Happy
    Happy is one of the Seven Dwarfs from Disney's "Snow White and the Seven Dwarfs," characterized by his cheerful and optimistic personality.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edb59908190bcef9d0cdc11081f completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7d757881908ac6af2b70a6dafe completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.