Triple

T5070415
Position Surface form Disambiguated ID Type / Status
Subject Trans Am E114263 entity
Predicate recordLabel P1500 FINISHED
Object Thrill Jockey E362377 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: Thrill Jockey | Statement: [Trans Am, recordLabel, Thrill Jockey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thrill Jockey
Context triple: [Trans Am, recordLabel, Thrill Jockey]
  • A. Thrill Jockey chosen
    Thrill Jockey is an independent American record label known for its diverse roster of experimental, indie, and avant-garde artists.
  • B. Kranky
    Kranky is an independent American record label known for releasing experimental, ambient, and post-rock music.
  • C. School Boy Records
    School Boy Records is an American record label founded by talent manager Scooter Braun, known for launching and managing the careers of major pop artists including Justin Bieber.
  • D. Frenetic Records
    Frenetic Records is an independent music label known for releasing work by experimental and heavy rock bands such as The Fucking Champs.
  • E. Intrada Records
    Intrada Records is a specialty record label best known for producing and releasing film and television soundtracks, including many expanded and previously unreleased scores.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74a0aa048190ba01281f1b160609 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea4a348e081909ccba9ce469c722c completed March 21, 2026, 2:01 p.m.
Created at: March 20, 2026, 1:39 p.m.