Triple

T23180129
Position Surface form Disambiguated ID Type / Status
Subject Bill Black E579434 entity
Predicate recordLabel P1500 FINISHED
Object Hi 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: Hi Records | Statement: [Bill Black, recordLabel, Hi Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hi Records
Context triple: [Bill Black, recordLabel, Hi Records]
  • A. Hi Records chosen
    Hi Records was a prominent Memphis-based soul and R&B label best known for releasing Al Green’s classic recordings in the 1960s and 1970s.
  • B. Hub Records
    Hub Records is an independent music label known for releasing the album "Stories Don’t End" by Dawes.
  • C. Word Records
    Word Records is a prominent American Christian music record label known for producing and distributing contemporary Christian and gospel artists.
  • D. Hamilton Records
    Hamilton Records was a budget record label imprint associated with Dot Records, known for issuing low-priced reissues and compilations.
  • E. Instant Records
    Instant Records is an American independent record label closely associated with New Orleans R&B and the work of influential musician and producer Allen Toussaint.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6ebff48190ad1543051ca0239b completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:04 p.m.