Triple

T15702354
Position Surface form Disambiguated ID Type / Status
Subject Ladies and Gentlemen, The Rolling Stones E380622 entity
Predicate includesSong P7178 FINISHED
Object Happy E208268 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: [Ladies and Gentlemen, The Rolling Stones, includesSong, Happy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happy
Context triple: [Ladies and Gentlemen, The Rolling Stones, includesSong, Happy]
  • A. Happy chosen
    "Happy" is a song featured as a part of the Justin Bieber concert film and soundtrack "Never Say Never."
  • B. Happy
    "Happy" is a globally popular, upbeat pop-soul song by Pharrell Williams known for its infectious melody and feel-good message.
  • C. 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.
  • D. Happy
    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 was the nickname of Albert Benjamin "Happy" Chandler, an American politician who served as Governor of Kentucky, U.S. Senator, and the second Commissioner of Major League Baseball.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6e965881909319f85c51c6fb74 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7577a3348190912fad48f7d8599e completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.