Triple

T10588329
Position Surface form Disambiguated ID Type / Status
Subject Julian Peter McDonald Clary E249913 entity
Predicate spouse P13 FINISHED
Object Ian Mackley E276132 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 Mackley | Statement: [Julian Peter McDonald Clary, spouse, Ian Mackley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Mackley
Context triple: [Julian Peter McDonald Clary, spouse, Ian Mackley]
  • A. Ian Mackley chosen
    Ian Mackley is the husband of British comedian and television personality Julian Clary.
  • B. Ian Bryce
    Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
  • C. Craig McKay
    Craig McKay is an American film editor best known for his acclaimed work on major films such as "The Silence of the Lambs."
  • D. Ian Meakins
    Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
  • E. Will McCormack
    Will McCormack is an American actor, writer, and director best known for co-writing the animated film "Toy Story 4" and co-directing the Oscar-winning short "If Anything Happens I Love You."
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d527793c588190bfe3a5261eb7f919 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d98838c9b88190b12d8873695e219e completed April 10, 2026, 11:31 p.m.
Created at: April 6, 2026, 12:40 p.m.