Triple

T15939369
Position Surface form Disambiguated ID Type / Status
Subject 0 to 100 / The Catch Up E386518 entity
Predicate producer P490 FINISHED
Object Nineteen85 E716292 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: Nineteen85 | Statement: [0 to 100 / The Catch Up, producer, Nineteen85]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nineteen85
Context triple: [0 to 100 / The Catch Up, producer, Nineteen85]
  • A. Nineteen85 chosen
    Nineteen85 is a Canadian record producer and songwriter best known for crafting several of Drake’s biggest hits, including “Hotline Bling” and “One Dance.”
  • B. Old 98
    Old 98 is the nickname of Tommy Harmon, a notable American football player and Heisman Trophy–winning halfback from the early 20th century.
  • C. Millencolin
    Millencolin is a Swedish punk rock band known for its energetic skate punk sound and international success in the 1990s and 2000s.
  • D. Dryfoos
    Dryfoos is a surname most notably associated with Orvil E. Dryfoos, a former publisher of The New York Times.
  • E. Zaentz
    Zaentz is the surname of Saul Zaentz, the acclaimed American film producer and music industry figure known for works like *One Flew Over the Cuckoo’s Nest* and *Amadeus*.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ad9988819089ad7822e0f46177 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5ba070c8190b6af6cb21bddd7f1 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.