Triple

T17637949
Position Surface form Disambiguated ID Type / Status
Subject Randy Travis E429146 entity
Predicate recordLabel P1500 FINISHED
Object Word 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: Word Records | Statement: [Randy Travis, recordLabel, Word Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Word Records
Context triple: [Randy Travis, recordLabel, Word Records]
  • A. Word Records chosen
    Word Records is a prominent American Christian music record label known for producing and distributing contemporary Christian and gospel artists.
  • B. Modern Records
    Modern Records was an American independent record label known for its influential rhythm and blues and early rock and roll releases in the mid-20th century.
  • C. Chart Records
    Chart Records was an American country music record label best known for releasing many of Lynn Anderson’s early hits in the 1960s.
  • D. One Records
    One Records is a music label known for releasing hip-hop projects, including work by rapper Fashawn.
  • E. Edition Records
    Edition Records is a British independent jazz and contemporary music label known for releasing critically acclaimed albums by artists such as Kurt Elling.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de2c85c819087e17a9ff93e4964 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:58 a.m.