Triple

T25278990
Position Surface form Disambiguated ID Type / Status
Subject Paradise by the Dashboard Light E633776 entity
Predicate counterVocalPerspective P120611 FINISHED
Object first-person female narrator 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 female narrator | Statement: [Paradise by the Dashboard Light, counterVocalPerspective, first-person female narrator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: counterVocalPerspective
Context triple: [Paradise by the Dashboard Light, counterVocalPerspective, first-person female narrator]
  • A. hasVocalPerspective chosen
    Indicates that one entity expresses or frames content from the point of view or voice of another entity.
  • B. vocalCounterpartType
    Indicates the type or category of a vocal counterpart relationship that one entity has to another (e.g., spoken, sung, dubbed, narrated).
  • C. vocal
    Indicates that an entity produces or is characterized by audible sounds, speech, or vocalizations.
  • D. vocalization
    Indicates the act or manner of producing sounds or calls, typically as a means of communication.
  • E. usesCounterpoint
    Indicates that one entity employs counterpoint, combining independent melodic lines in a structured, interdependent musical relationship with another.
  • F. None of above.

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_69e75a9402fc81909362ca85277c06d9 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 21, 2026, 1:18 p.m.