Triple

T16790347
Position Surface form Disambiguated ID Type / Status
Subject Julia Ogilvy E408088 entity
Predicate spouse P13 FINISHED
Object James Ogilvy E90759 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: James Ogilvy | Statement: [Julia Ogilvy, spouse, James Ogilvy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Ogilvy
Context triple: [Julia Ogilvy, spouse, James Ogilvy]
  • A. James Ogilvy chosen
    James Ogilvy is a British landscape designer and magazine founder who is a member of the extended royal family as the son of Princess Alexandra and a first cousin once removed of King Charles III.
  • B. John Balfour
    John Balfour is a name shared by several notable historical figures, including politicians and diplomats from the United Kingdom.
  • C. George Fergusson
    George Fergusson is a British diplomat who has served as Governor of Bermuda and held various senior positions in the UK Foreign and Commonwealth Office.
  • D. Carl Munro
    Carl Munro is a fictional character from the 2006 family road-trip comedy film "RV," portrayed as the teenage son in the Munro family.
  • E. James Maclehose
    James Maclehose was the husband of Agnes Maclehose, the 18th-century Scottish woman known for her celebrated correspondence with poet Robert Burns.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a5d10c8190a581de79e4f7ccfa completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28970748190836806c68ad9e230 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:22 a.m.