Triple

T5530353
Position Surface form Disambiguated ID Type / Status
Subject Steely Dan E145030 entity
Predicate recordLabel P1500 FINISHED
Object Giant Records E445511 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: Giant Records | Statement: [Steely Dan, recordLabel, Giant Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giant Records
Context triple: [Steely Dan, recordLabel, Giant Records]
  • A. Giant Records chosen
    Giant Records was an American record label, active primarily in the 1990s, known for releasing rock, pop, and alternative music by artists such as Oingo Boingo.
  • 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. Victor Records
    Victor Records was a prominent early 20th-century American record label known for producing and distributing popular music and jazz recordings.
  • D. Saint Records
    Saint Records is an independent record label founded by Solange Knowles to champion experimental R&B and underrepresented artists.
  • E. Festival Records
    Festival Records was a prominent Australian record label known for signing and releasing music by major artists such as Olivia Newton-John.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9b59bc8190a8758b3be54831e9 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d65dafc819083b60cbff2031819 completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:34 p.m.