Triple

T9682481
Position Surface form Disambiguated ID Type / Status
Subject Lindsay Reade E234317 entity
Predicate employer P7 FINISHED
Object Factory Records E170061 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: Factory Records | Statement: [Lindsay Reade, employer, Factory Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Factory Records
Context triple: [Lindsay Reade, employer, Factory Records]
  • A. Factory Records chosen
    Factory Records was an influential independent British record label based in Manchester, best known for pioneering the post-punk and Madchester scenes with bands like Joy Division and New Order.
  • B. Dimension Records
    Dimension Records was an American record label best known for releasing early 1960s pop hits, including Little Eva’s chart-topping single “The Loco-Motion.”
  • C. One Records
    One Records is a music label known for releasing hip-hop projects, including work by rapper Fashawn.
  • D. Round Records
    Round Records is a music label known for releasing recordings by the American rock band Kingfish and other related artists.
  • E. Alive Records
    Alive Records is an independent American record label known for releasing early albums by garage rock and blues-influenced bands such as The Black Keys.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ccdbcc48190a4a9a70b3f419ac2 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f736b988190b963e216a805316d completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:16 p.m.