Triple

T19709353
Position Surface form Disambiguated ID Type / Status
Subject MacAskill E473299 entity
Predicate hasNotableBearer P458 FINISHED
Object Kenny MacAskill NE NERFINISHED

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: Kenny MacAskill | Statement: [MacAskill, hasNotableBearer, Kenny MacAskill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenny MacAskill
Context triple: [MacAskill, hasNotableBearer, Kenny MacAskill]
  • A. Kenny MacAskill chosen
    Kenny MacAskill is a Scottish politician and former Scottish Justice Secretary who later became a prominent figure in the pro-independence Alba Party.
  • B. Douggie McMeekin
    Douggie McMeekin is a British actor best known for his role in the period drama television series "Harlots."
  • C. Angus McKie
    Angus McKie is a British illustrator and colorist known for his detailed science fiction artwork and influential contributions to comic book coloring.
  • D. Johnny McRae
    Johnny McRae is the son of the late Scottish World Rally Championship driver Colin McRae.
  • E. Kenny Graham
    Kenny Graham was a British jazz saxophonist, composer, and arranger known for his innovative contributions to mid-20th-century jazz and film music.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64406f9808190acd74aa03c392eb0 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.