Triple

T15676529
Position Surface form Disambiguated ID Type / Status
Subject Lara Fabian E377456 entity
Predicate recordLabel P1500 FINISHED
Object Polydor E277636 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: Polydor | Statement: [Lara Fabian, recordLabel, Polydor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polydor
Context triple: [Lara Fabian, recordLabel, Polydor]
  • A. Polydor Records chosen
    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.
  • B. 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.
  • C. Arista Records
    Arista Records is a major American record label known for signing and promoting numerous successful artists across pop, R&B, and rock music.
  • D. Polar Records
    Polar Records is a Swedish record label best known for releasing and distributing the music of ABBA and other Scandinavian pop artists.
  • E. MCA Records
    MCA Records was a major American record label known for releasing music by prominent rock, pop, and country artists throughout the latter half of the 20th century.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2e10a4819097eba1ea31e36ac2 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff756da91c81908d73a081f51edebd completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:16 a.m.