Triple

T15333606
Position Surface form Disambiguated ID Type / Status
Subject Daniel Spack E366603 entity
Predicate memberOf P10 FINISHED
Object Volcano Choir E65360 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: Volcano Choir | Statement: [Daniel Spack, memberOf, Volcano Choir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volcano Choir
Context triple: [Daniel Spack, memberOf, Volcano Choir]
  • A. Volcano Choir chosen
    Volcano Choir is an experimental indie rock band featuring Bon Iver’s Justin Vernon, known for its atmospheric, layered soundscapes and abstract songwriting.
  • B. Vishanti
    The Vishanti are a powerful trio of mystical deities in Marvel Comics, often invoked by sorcerers like Doctor Strange as a primary source of magical protection and arcane power.
  • C. High on Fire
    High on Fire is an American heavy metal band known for its aggressive, sludge-influenced sound and powerful, riff-driven songs.
  • D. Vagos
    Vagos is a coastal municipality in central Portugal known for its beaches, dunes, and integration into the Aveiro region’s lagoon landscape.
  • E. Holy Other
    Holy Other is an enigmatic electronic music producer known for atmospheric, R&B-infused soundscapes and releases on labels like Tri Angle Records.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ecb904819082454622dcd77556 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.