Triple

T15766510
Position Surface form Disambiguated ID Type / Status
Subject The Sound of Revenge E382234 entity
Predicate producer P490 FINISHED
Object Happy Perez E245217 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 Perez | Statement: [The Sound of Revenge, producer, Happy Perez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happy Perez
Context triple: [The Sound of Revenge, producer, Happy Perez]
  • A. Happy Perez chosen
    Happy Perez is an American record producer and songwriter known for crafting smooth, R&B-infused hits for artists like Miguel, Mariah Carey, and H.E.R.
  • B. Franky Perez
    Franky Perez is an American rock singer and guitarist known for his solo work and collaborations with various hard rock and metal bands.
  • C. Gomez
    Gomez is a common Spanish-origin surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • D. Jimmy Perez
    Jimmy Perez is the thoughtful and determined Shetland police detective at the center of Ann Cleeves’ crime novels and their television adaptation "Shetland."
  • E. Mickey Rivera
    Mickey Rivera is a notable graduate of Westminster Christian School recognized for his achievements after attending the Miami-based private Christian institution.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b8154881908afe5191e6424f15 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87789914819097b56482cb8984c7 completed May 9, 2026, 7:14 p.m.
Created at: April 10, 2026, 4:47 a.m.