Triple

T9343855
Position Surface form Disambiguated ID Type / Status
Subject Don Airey E224830 entity
Predicate associatedBand P6597 FINISHED
Object Whitesnake E93368 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: Whitesnake | Statement: [Don Airey, associatedBand, Whitesnake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitesnake
Context triple: [Don Airey, associatedBand, Whitesnake]
  • A. Whitesnake chosen
    Whitesnake is a British hard rock band formed by former Deep Purple singer David Coverdale, best known for their 1980s hits like "Here I Go Again" and "Is This Love."
  • B. Deep Purple
    Deep Purple is a pioneering English rock band formed in 1968, widely regarded as one of the key founders of hard rock and heavy metal.
  • C. Uriah Heep
    Uriah Heep is a famously obsequious and manipulative clerk-turned-villain in Charles Dickens’s novel "David Copperfield."
  • D. Bad Company
    "Bad Company" is a 1995 American neo-noir thriller film featuring Michael Beach in a supporting role.
  • E. Bad Company
    Bad Company is a fast-paced thriller novel by Jack Higgins that follows covert operatives entangled in a high-stakes conspiracy involving wartime secrets and modern power struggles.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bb244e88190b269e0bc997f066a completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e410bc348190b0cae142bf850bce completed April 4, 2026, 10:12 a.m.
Created at: March 30, 2026, 7:40 p.m.