Triple

T10523834
Position Surface form Disambiguated ID Type / Status
Subject Mr Darcy – Colin Firth E248243 entity
Predicate notableLocationUsed P15715 FINISHED
Object Lacock E362954 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: Lacock | Statement: [Mr Darcy – Colin Firth, notableLocationUsed, Lacock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lacock
Context triple: [Mr Darcy – Colin Firth, notableLocationUsed, Lacock]
  • A. Lacock chosen
    Lacock is a picturesque English village in Wiltshire renowned for its well-preserved historic architecture and frequent use as a filming location for period dramas and films.
  • B. Wrea Green
    Wrea Green is a picturesque village in Lancashire, England, known for its traditional village green, duck pond, and historic rural character.
  • C. Cricklade
    Cricklade is a historic small town in Wiltshire, England, situated on the River Thames and known for its well-preserved Saxon origins and traditional market-town character.
  • D. Abbeystead
    Abbeystead is a small rural village in Lancashire, England, known for its scenic setting within the Forest of Bowland Area of Outstanding Natural Beauty.
  • E. Coxwold
    Coxwold is a small historic village in North Yorkshire, England, known for its picturesque setting, medieval church, and literary connections.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5190da7f081908c38b5964a567e37 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e1c73208190aa3d3e30aa4482ac completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:29 p.m.