Triple

T15937873
Position Surface form Disambiguated ID Type / Status
Subject Frankie Sullivan E386482 entity
Predicate coWriterOf P2389 FINISHED
Object Too Hot to Sleep E386491 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: Too Hot to Sleep | Statement: [Frankie Sullivan, coWriterOf, Too Hot to Sleep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Too Hot to Sleep
Context triple: [Frankie Sullivan, coWriterOf, Too Hot to Sleep]
  • A. Too Hot to Sleep chosen
    Too Hot to Sleep is a late-1980s melodic rock album by Survivor that showcases a heavier sound and strong vocal performances, though it achieved only modest commercial success.
  • B. Too Hot to Stop
    "Too Hot to Stop" is a 1976 funk album by The Bar-Kays that helped establish the band’s signature energetic, horn-driven sound.
  • C. Too Hot to Handle
    Too Hot to Handle is the alternate title of the 1991 romantic comedy film "The Marrying Man," starring Alec Baldwin and Kim Basinger.
  • D. Night Heat
    Night Heat is a Canadian police procedural television series that follows the cases of a night-shift detective squad in a major city.
  • E. I'm Really Hot
    "I'm Really Hot" is a hip hop single by Missy Elliott known for its energetic production, playful lyrics, and innovative music video.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ac934c8190b6178eb66023252e completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b8121881909b15bf6451d3d3a8 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.