Triple

T22483718
Position Surface form Disambiguated ID Type / Status
Subject Dead Set E555829 entity
Predicate hasPart P35 FINISHED
Object Fire on the Mountain 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: Fire on the Mountain | Statement: [Dead Set, hasPart, Fire on the Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fire on the Mountain
Context triple: [Dead Set, hasPart, Fire on the Mountain]
  • A. Fire on the Mountain chosen
    "Fire on the Mountain" is a popular Grateful Dead song known for its extended live improvisations and distinctive, hypnotic groove.
  • B. Fire on the Mountain
    Fire on the Mountain is a critically acclaimed novel by Indian author Anita Desai that explores themes of isolation, memory, and female subjectivity in a quiet Himalayan hill town.
  • C. Fire on the Mountain
    "Fire on the Mountain" is a Southern rock song by The Marshall Tucker Band, known for its storytelling lyrics and prominent flute and guitar parts.
  • D. Thunder on the Mountain
    "Thunder on the Mountain" is an energetic, blues-rock opening track by Bob Dylan that showcases his late-career lyrical wit and driving rhythm.
  • E. Up to the Mountain
    "Up to the Mountain" is a soulful, gospel-influenced song written by Patty Griffin that has been widely covered by various artists, including Susan Boyle.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3b03d881909e286a124c1a2b1c completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.