Triple

T10976523
Position Surface form Disambiguated ID Type / Status
Subject William Wellesley-Pole E259383 entity
Predicate spouse P13 FINISHED
Object Katherine Elizabeth Forbes E259383 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: Katherine Elizabeth Forbes | Statement: [William Wellesley-Pole, spouse, Katherine Elizabeth Forbes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katherine Elizabeth Forbes
Context triple: [William Wellesley-Pole, spouse, Katherine Elizabeth Forbes]
  • A. Katherine Elizabeth Forbes chosen
    Katherine Elizabeth Forbes was the wife of British politician William Wellesley-Pole, connecting her to the prominent Wellesley family of the late 18th and early 19th centuries.
  • B. Adelaide Stevenson Forbes
    Adelaide Stevenson Forbes was the wife of Scottish-born American financial journalist and Forbes magazine founder B. C. Forbes.
  • C. Mary Forbes
    Mary Forbes was a Scottish noblewoman of the Forbes family best known as the mother of George Gordon, 1st Earl of Aberdeen.
  • D. Mary Forbes
    Mary Forbes was a British-born character actress known for her numerous supporting roles in American films during the early to mid-20th century.
  • E. Anna Forbes
    Anna Forbes is the central character of the British television drama "This Life," around whose personal and professional experiences much of the series revolves.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f5bef481909043656c571fda89 completed April 9, 2026, 9:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344b433c481909bf22bba1b8dc3bd completed April 18, 2026, 8:45 a.m.
Created at: April 8, 2026, 9:24 p.m.