Triple

T20416753
Position Surface form Disambiguated ID Type / Status
Subject Detection Club E500732 entity
Predicate hasMember P10 FINISHED
Object Ian Rankin 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: Ian Rankin | Statement: [Detection Club, hasMember, Ian Rankin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Rankin
Context triple: [Detection Club, hasMember, 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. Chris Brookmyre
    Chris Brookmyre is a Scottish crime novelist known for his darkly comic, politically charged thrillers and award-winning contributions to contemporary crime fiction.
  • D. Martin Cruz Smith
    Martin Cruz Smith is an American novelist best known for his crime and mystery thrillers, particularly the Arkady Renko series.
  • E. 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.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4437448190b07b6e6e3de5830f completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.