Triple

T16670871
Position Surface form Disambiguated ID Type / Status
Subject Not in This Lifetime... Tour E405100 entity
Predicate hasSetlistStaple P33226 FINISHED
Object Coma E404616 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: Coma | Statement: [Not in This Lifetime... Tour, hasSetlistStaple, Coma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coma
Context triple: [Not in This Lifetime... Tour, hasSetlistStaple, Coma]
  • A. Coma
    Coma is a 1978 medical thriller film, based on Robin Cook’s novel, that explores a sinister conspiracy involving patients mysteriously falling into comas in a Boston hospital.
  • B. Coma chosen
    "Coma" is a lengthy, hard rock track by Guns N' Roses known for its complex structure, dark themes, and climactic intensity.
  • C. Comatose
    Comatose is a popular hard rock/Christian rock song by Skillet, known for its heavy guitars, orchestral elements, and themes of emotional struggle and dependence.
  • D. Cooma
    Cooma is a town in New South Wales, Australia, known as a gateway to the Snowy Mountains and the Snowy Mountains Scheme.
  • E. Comas
    Comas is a populous urban district in northern Lima, Peru, known for its residential neighborhoods and commercial activity within the Greater Lima metropolitan area.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ca079ec819090b356c86a9241cc completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3692588190a94d349cb63d9749 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.