Triple

T20015087
Position Surface form Disambiguated ID Type / Status
Subject Romanza E494695 entity
Predicate label P38 FINISHED
Object Polydor Records 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: Polydor Records | Statement: [Romanza, label, Polydor Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polydor Records
Context triple: [Romanza, label, Polydor Records]
  • 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. Transatlantic Records
    Transatlantic Records was a British independent folk and blues label known for releasing influential recordings by artists such as Bert Jansch in the 1960s and 1970s.
  • 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. Polyvinyl Records
    Polyvinyl Records is an independent American record label known for releasing influential indie rock and experimental music.
  • E. Capricorn Records
    Capricorn Records was an influential American record label best known for pioneering and popularizing Southern rock in the 1970s.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623bba1881908440c92f08729ec1 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.