Triple

T6380386
Position Surface form Disambiguated ID Type / Status
Subject Black Magic Woman E143564 entity
Predicate recordLabel P1500 FINISHED
Object Blue Horizon E528526 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: Blue Horizon | Statement: [Black Magic Woman, recordLabel, Blue Horizon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Horizon
Context triple: [Black Magic Woman, recordLabel, Blue Horizon]
  • A. Blue Horizon
    Blue Horizon is a historical adventure novel by Wilbur Smith that continues the saga of the Courtney family in colonial Africa.
  • B. Blue Horizon chosen
    Blue Horizon was a British blues record label best known for releasing influential late-1960s recordings by artists such as Fleetwood Mac and other blues-rock acts.
  • C. Under a Blanket of Blue
    "Under a Blanket of Blue" is a jazz standard best known for its smooth, romantic rendition by Ella Fitzgerald and Louis Armstrong.
  • D. Blue Sky
    "Blue Sky" is a melodic, country-influenced rock song by the Allman Brothers Band, celebrated for its dual guitar harmonies and uplifting, improvisational feel.
  • E. Blue Sky
    Blue Sky is a 1994 drama film starring Jessica Lange as the troubled wife of a U.S. Army officer, a role that earned her an Academy Award for Best Actress.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685265208190b2204bd4abff2668 completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62daf2f408190923d67bd0222d2bb completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.