Triple

T12880840
Position Surface form Disambiguated ID Type / Status
Subject Gainsborough E308087 entity
Predicate familyName P18 FINISHED
Object Gainsborough E308087 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: Gainsborough | Statement: [Gainsborough, familyName, Gainsborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gainsborough
Context triple: [Gainsborough, familyName, Gainsborough]
  • A. Gainsborough chosen
    Gainsborough was an influential 18th-century English portrait and landscape painter, best known for works like "The Blue Boy" and his elegant depictions of aristocratic society.
  • B. Gainsborough
    Gainsborough is a historic market town in Lincolnshire, England, situated on the River Trent and known for its industrial heritage and riverside setting.
  • C. Goldsborough
    Goldsborough is a village and civil parish in North Yorkshire, England, known for its historic church and proximity to the town of Knaresborough.
  • D. Landsborough
    Landsborough is a small rural town in Queensland, Australia, serving as a gateway to the Sunshine Coast hinterland and the Glass House Mountains.
  • E. Sawbridgeworth
    Sawbridgeworth is a historic market town in Hertfordshire, England, situated near the River Stort and known for its commuter links to London and surrounding countryside.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bbb735c8190a08683a6183e60c4 completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:39 p.m.