Triple

T13804821
Position Surface form Disambiguated ID Type / Status
Subject What Is Love E331732 entity
Predicate producer P490 FINISHED
Object Junior Torello E969032 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: Junior Torello | Statement: [What Is Love, producer, Junior Torello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junior Torello
Context triple: [What Is Love, producer, Junior Torello]
  • A. Junior Torello chosen
    Junior Torello is a musical act known primarily for its collaboration and association with Eurodance artist Haddaway.
  • B. Teddy Castellucci
    Teddy Castellucci is an American film composer known for scoring numerous Hollywood comedies, including the soundtrack for "White Chicks."
  • C. TJ DeFalco
    TJ DeFalco is an American professional volleyball player and U.S. national team outside hitter known for his standout collegiate career at Long Beach State and international success.
  • D. Joey Naylor
    Joey Naylor is the young, impressionable son of tobacco lobbyist Nick Naylor in "Thank You for Smoking," serving as a key figure in exploring themes of persuasion, morality, and parental influence.
  • E. Jared Borgetti
    Jared Borgetti is a retired Mexican footballer and prolific striker best known as one of Mexico’s all-time leading goal scorers and a standout for the national team in the early 2000s.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08db39c8190a76637b36b77d643 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.