Triple

T17460758
Position Surface form Disambiguated ID Type / Status
Subject No Idea E425144 entity
Predicate partOf P40 FINISHED
Object Heaven or Hell 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: Heaven or Hell | Statement: [No Idea, partOf, Heaven or Hell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heaven or Hell
Context triple: [No Idea, partOf, Heaven or Hell]
  • A. Heaven or Hell
    "Heaven or Hell" is a jazz composition featured on the soundtrack of the 1980 film *Honeysuckle Rose*, associated with the country and jazz-influenced music of that movie.
  • B. Heaven or Hell chosen
    "Heaven or Hell" is the 2020 debut studio album by American rapper and singer Don Toliver, blending melodic trap and atmospheric production.
  • C. Heaven/Hell
    Heaven/Hell is a solo album by Pearl Jam bassist Jeff Ament that showcases his distinctive songwriting and multi-instrumental talents outside the band.
  • D. In Heaven
    "In Heaven" is a song featured on Gregory Porter's acclaimed jazz and soul album "Take Me to the Alley."
  • E. Hell-Heaven
    Hell-Heaven is a short story by Jhumpa Lahiri that explores themes of cultural displacement, family tension, and unrequited love within the Bengali immigrant experience in America.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a3031c8190ab1dd0d41b002dd2 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.