Triple

T1159360
Position Surface form Disambiguated ID Type / Status
Subject Grateful Dead E24459 entity
Predicate recordLabel P1500 FINISHED
Object Arista Records E4611 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: Arista Records | Statement: [Grateful Dead, recordLabel, Arista Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arista Records
Context triple: [Grateful Dead, recordLabel, Arista Records]
  • A. Arista Records chosen
    Arista Records is a major American record label known for signing and promoting numerous successful artists across pop, R&B, and rock music.
  • B. Polydor Records
    Polydor Records is a major international record label, originally founded in Germany, known for signing and distributing a wide range of prominent popular music artists.
  • C. ABC Records
    ABC Records was a prominent American record label known for releasing influential blues, jazz, and pop recordings, including notable works by B.B. King.
  • D. RCA Records
    RCA Records is a major American record label, historically influential in popular music and home to numerous iconic artists across genres.
  • E. Curb Records
    Curb Records is an American independent record label known for its roster of country and Christian music artists, including LeAnn Rimes.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcad47a08190895769611798f67f completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69afa0333e40819086d963491946e28b completed March 10, 2026, 4:38 a.m.
Created at: March 1, 2026, 7:45 p.m.