Triple

T4332265
Position Surface form Disambiguated ID Type / Status
Subject Sharon Robinson E96779 entity
Predicate coWriterOf P2389 FINISHED
Object Boogie Street E431128 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: Boogie Street | Statement: [Sharon Robinson, coWriterOf, Boogie Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boogie Street
Context triple: [Sharon Robinson, coWriterOf, Boogie Street]
  • A. Boogie Street chosen
    Boogie Street is a song co-written and performed by Sharon Robinson, best known for its prominent collaboration with Leonard Cohen.
  • B. The Boogie That Be
    "The Boogie That Be" is a high-energy hip hop track by the Black Eyed Peas known for its funky beats and party-oriented vibe.
  • C. Rap City
    Rap City is a long-running hip hop music video and culture show that helped define BET’s rap programming and showcase emerging and established rap artists.
  • D. Gangsta’s Paradise
    "Gangsta’s Paradise" is a 1995 hip-hop song by Coolio featuring L.V., best known for its introspective lyrics on urban struggle and its prominent use of a Stevie Wonder sample.
  • E. Jungle Fever
    Jungle Fever is a 1991 drama film by Spike Lee that explores interracial romance and the social tensions surrounding race, class, and identity in New York City.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3514dc588819086a4c6d585c1b5b1 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db9c1a90819083d0889a65f04af2 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:13 p.m.