Triple

T18962862
Position Surface form Disambiguated ID Type / Status
Subject But Here We Are E463953 entity
Predicate hasPart P35 FINISHED
Object Hearing Voices 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: Hearing Voices | Statement: [But Here We Are, hasPart, Hearing Voices]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hearing Voices
Context triple: [But Here We Are, hasPart, Hearing Voices]
  • A. Hearing Voices chosen
    "Hearing Voices" is a song by the American heavy metal band Lowborn.
  • B. Voices
    Voices is a sculptural artwork by Spanish artist Jaume Plensa, known for his large-scale, contemplative installations that explore the human figure, language, and spirituality.
  • C. Voices
    Voices is The Independent’s opinion and commentary section featuring columns, analysis, and personal perspectives on current affairs.
  • D. Voices
    "Voices" is a 1979 romantic drama film starring Amy Irving and Michael Ontkean that centers on the relationship between a deaf woman and an aspiring singer.
  • E. Voices
    Voices is a 1980 pop-rock album by Daryl Hall & John Oates that marked their commercial breakthrough with hits like "Kiss on My List" and "You Make My Dreams."
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d420f481909aa22a0d22ac4af1 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon