Triple

T12351360
Position Surface form Disambiguated ID Type / Status
Subject L.I.F.E E294495 entity
Predicate recordLabel P1500 FINISHED
Object Aristokrat Records E983662 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: Aristokrat Records | Statement: [L.I.F.E, recordLabel, Aristokrat Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aristokrat Records
Context triple: [L.I.F.E, recordLabel, Aristokrat Records]
  • A. Aristokrat Records chosen
    Aristokrat Records is a Nigerian music label known for developing contemporary Afrobeats and pop artists.
  • B. Regal Recordings
    Regal Recordings is a British record label known for signing prominent artists such as Lily Allen and releasing influential pop and alternative music.
  • C. Audium Records
    Audium Records is an independent music label known for releasing country and Americana recordings, particularly by veteran and roots-oriented artists.
  • D. HighNote Records
    HighNote Records is a jazz-focused independent record label known for releasing albums by artists such as vocalist and pianist Freddy Cole.
  • E. SteepleChase Records
    SteepleChase Records is a Danish jazz record label known for its extensive catalog of recordings by prominent American and European jazz musicians, particularly from the 1970s onward.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7cbff08190849cd2aec4ce3243 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b90779881909893d1e6877ce567 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:53 p.m.