Triple

T12860433
Position Surface form Disambiguated ID Type / Status
Subject Kimberly Williams-Paisley E307571 entity
Predicate familyName P18 FINISHED
Object Paisley E25349 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: Paisley | Statement: [Kimberly Williams-Paisley, familyName, Paisley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paisley
Context triple: [Kimberly Williams-Paisley, familyName, Paisley]
  • A. Paisley chosen
    Paisley is a large town in the west of Scotland known for its historic textile industry and as the origin of the famous paisley pattern.
  • B. Paisley
    Paisley is a small rural village in Bruce County, Ontario, Canada, known for its location at the confluence of the Saugeen and Teeswater Rivers and its historic downtown.
  • C. Motherwell
    Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
  • D. Motherwell
    Motherwell is a large township in the Eastern Cape province of South Africa, situated within the Nelson Mandela Bay Metropolitan Municipality and known for its dense residential communities and socio-economic challenges.
  • E. Uddingston
    Uddingston is a suburban town in Scotland, situated near Glasgow and known for its residential character and local amenities.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708ba74881909b16c1e2ef5115db completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bac0c1081909217d865aa8bf9a3 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:37 p.m.