Triple

T16974185
Position Surface form Disambiguated ID Type / Status
Subject Sylvester McCoy E411764 entity
Predicate workedWith P398 FINISHED
Object Andrew Cartmel E1087536 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: Andrew Cartmel | Statement: [Sylvester McCoy, workedWith, Andrew Cartmel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Cartmel
Context triple: [Sylvester McCoy, workedWith, Andrew Cartmel]
  • A. Andrew Cartmel chosen
    Andrew Cartmel is a British writer and script editor best known for his influential tenure on the classic Doctor Who television series and related spin-off media.
  • B. Huw Bunford
    Huw Bunford is a Welsh musician best known as the guitarist for the psychedelic rock band Super Furry Animals.
  • C. Tony Riley-Smith
    Tony Riley-Smith is a whisky industry figure best known for establishing the Jura distillery on the Isle of Jura in Scotland.
  • D. Peter Davies
    Peter Davies is a film editor best known for his work on the James Bond movie "A View to a Kill."
  • E. Peter Davies
    Peter Davies was a British publishing house known for issuing notable literary works, including mid-20th-century fiction and historical novels.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0af06688190a77682aa297cd27e completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4738fbc819099e8281ebc777091 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.