Triple

T16002908
Position Surface form Disambiguated ID Type / Status
Subject James Fauntleroy E388138 entity
Predicate memberOf P10 FINISHED
Object Cocaine 80s E123231 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: Cocaine 80s | Statement: [James Fauntleroy, memberOf, Cocaine 80s]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cocaine 80s
Context triple: [James Fauntleroy, memberOf, Cocaine 80s]
  • A. Cocaine 80s chosen
    Cocaine 80s is a musical collective led by producer No I.D., known for its soulful, experimental R&B and hip-hop collaborations in the early 2010s.
  • B. Cocaine Nights
    Cocaine Nights is a dark, psychologically driven crime novel by J. G. Ballard that explores violence, boredom, and social control within an affluent expatriate community on the Costa del Sol.
  • C. Cocaine (live)
    "Cocaine (live)" is a live-performance track featured on The Internet's debut album "Purple Naked Ladies."
  • D. Rich Off Cocaine
    "Rich Off Cocaine" is a track by rapper Rick Ross, known for its luxurious, introspective portrayal of drug-dealer wealth and lifestyle.
  • E. Cocaine Bear
    Cocaine Bear is a 2023 dark comedy horror film loosely inspired by the true story of a black bear that ingested a large amount of lost cocaine in a Georgia forest.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fd753c819099707109e35540e1 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dba8e08190b6b26ac9a6854e50 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.