Triple

T18562133
Position Surface form Disambiguated ID Type / Status
Subject Michael Keith E453668 entity
Predicate performerIn P17435 FINISHED
Object Hot & Wet 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: Hot & Wet | Statement: [Michael Keith, performerIn, Hot & Wet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hot & Wet
Context triple: [Michael Keith, performerIn, Hot & Wet]
  • A. Hot & Wet chosen
    "Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
  • B. Hotter than July
    Hotter than July is a 1980 Stevie Wonder studio album blending R&B, soul, and reggae influences, best known for songs like "Master Blaster (Jammin')" and "Happy Birthday."
  • C. Hot and Dirty
    "Hot and Dirty" is a song by the band HSAS, a short-lived hard rock supergroup featuring guitarist Neal Schon and vocalist Sammy Hagar.
  • D. Hot Hot Hot
    "Hot Hot Hot" is a song best known as the B-side to the English post-punk band The Cure’s single "The Walk."
  • E. That Heat
    "That Heat" is a Latin-infused hip hop track by Common featuring will.i.am and Sérgio Mendes, known for its smooth groove and blend of rap with Brazilian rhythms.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53afb4f088190adf0b2b64057a210 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:42 a.m.