Triple

T18483133
Position Surface form Disambiguated ID Type / Status
Subject Part III E451614 entity
Predicate followedBy P78 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: [Part III, followedBy, Hot & Wet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hot & Wet
Context triple: [Part III, followedBy, 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d49a1881908cc2ad6132953c96 completed April 19, 2026, 7:49 p.m.
Created at: April 10, 2026, 11:35 a.m.