Triple

T9953264
Position Surface form Disambiguated ID Type / Status
Subject One Way Ticket (Because I Can) E195382 entity
Predicate recordLabel P1500 FINISHED
Object Curb Records E235480 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: Curb Records | Statement: [One Way Ticket (Because I Can), recordLabel, Curb Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curb Records
Context triple: [One Way Ticket (Because I Can), recordLabel, Curb Records]
  • A. Curb Records chosen
    Curb Records is an American independent record label known for its roster of country and Christian music artists, including LeAnn Rimes.
  • B. King Records
    King Records was an influential American independent record label, particularly known for its R&B, country, and early rock and roll releases in the mid-20th century.
  • C. Dooby Records
    Dooby Records is a music record label known for releasing the album "Back to Scratch."
  • D. Capricorn Records
    Capricorn Records was an influential American record label best known for pioneering and popularizing Southern rock in the 1970s.
  • E. Barclay Records
    Barclay Records is a historic French record label known for signing prominent Francophone artists and contributing significantly to French popular music.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb693918081908e9f96ef302235ad completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb77b51481908af779b8ecacc3f1 completed April 5, 2026, 8:52 p.m.
Created at: March 30, 2026, 8:46 p.m.