Triple

T15959988
Position Surface form Disambiguated ID Type / Status
Subject Man of Constant Sorrow E387031 entity
Predicate hasVocalPerspective P120611 FINISHED
Object first-person narrative LITERAL 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: first-person narrative | Statement: [Man of Constant Sorrow, hasVocalPerspective, first-person narrative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVocalPerspective
Context triple: [Man of Constant Sorrow, hasVocalPerspective, first-person narrative]
  • A. hasVocals
    Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
  • B. hasVocalPerformanceBy
    Indicates that a vocal performance in a work or recording is performed by a specified person or group.
  • C. hasNotableVocalType
    Indicates that an entity is associated with a specific, noteworthy type or quality of vocalization or voice.
  • D. hasVocalForces
    Indicates that an entity involves or employs vocal performers or vocal parts as a contributing force.
  • E. hasVoiceIn
    Indicates that an entity participates by providing a voice role or vocal performance in another entity, such as a work, production, or recording.
  • F. None of above. chosen

Provenance (4 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e173b3bf6c81909230170e833d7ce7 completed April 16, 2026, 11:41 p.m.
PD Predicate disambiguation batch_69e142d6fb588190b4176eab4bbae774 completed April 16, 2026, 8:13 p.m.
PDg Predicate description generation batch_69e173af801c8190bfc0f602831bb594 completed April 16, 2026, 11:41 p.m.
Created at: April 10, 2026, 4:53 a.m.