Triple

T23371449
Position Surface form Disambiguated ID Type / Status
Subject Blue Funk E593484 entity
Predicate hasTrack P3284 FINISHED
Object Who's the Man NE NERFINISHED

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: Who's the Man | Statement: [Blue Funk, hasTrack, Who's the Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Who's the Man
Context triple: [Blue Funk, hasTrack, Who's the Man]
  • A. Who’s the Man? chosen
    "Who’s the Man?" is a 1993 hip hop comedy film starring Yo! MTV Raps hosts Doctor Dré and Ed Lover as bumbling rookie cops navigating crime and culture in New York City.
  • B. A Man
    "A Man" is a song by Alanis Morissette from her 2002 album *Under Rug Swept*, reflecting her characteristic introspective and emotionally charged songwriting style.
  • C. Any Man
    "Any Man" is a standout underground hip-hop track by Eminem, known for its dark humor, intricate wordplay, and appearance on the Rawkus Records compilation "Soundbombing II."
  • D. One Man
    One Man is a one-man stage play by Steven Berkoff that showcases his intense, physical performance style and darkly comic monologues.
  • E. One Man
    One Man is a solo album by British bassist and vocalist Mark King, best known as the frontman of the jazz-funk band Level 42.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0b0bdc081908c7852c026ca7ff7 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.