Triple

T15073066
Position Surface form Disambiguated ID Type / Status
Subject Barry Award E379929 entity
Predicate notableRecipient P108 FINISHED
Object Ian Rankin E232000 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: Ian Rankin | Statement: [Barry Award, notableRecipient, Ian Rankin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Rankin
Context triple: [Barry Award, notableRecipient, Ian Rankin]
  • A. Ian Rankin chosen
    Ian Rankin is a Scottish crime writer best known for his Inspector Rebus novels set in Edinburgh.
  • B. Stuart MacBride
    Stuart MacBride is a Scottish crime novelist best known for his gritty Logan McRae series set in Aberdeen.
  • C. Michael Connolly
    Michael Connolly is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • D. Philip Kerr
    Philip Kerr was a British author best known for his Bernie Gunther series of historical crime novels set in Nazi and post-war Germany.
  • E. John Creasey
    John Creasey was a prolific British crime and thriller novelist who wrote hundreds of books under numerous pseudonyms and became one of the most widely published authors of the 20th century.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fa0570819088a97b28173154cd completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cff69c8190b6252509c1aa7ebb completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.