Triple

T7136770
Position Surface form Disambiguated ID Type / Status
Subject William Wyndham E166324 entity
Predicate familyName P18 FINISHED
Object Wyndham E531019 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: Wyndham | Statement: [William Wyndham, familyName, Wyndham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wyndham
Context triple: [William Wyndham, familyName, Wyndham]
  • A. Wyndham chosen
    Wyndham is the middle name of William Wyndham Grenville, a British statesman who served as Prime Minister of the United Kingdom in the early 19th century.
  • B. Wyndham
    Wyndham is a small, remote town in Western Australia's far north, known as one of the state's northernmost settlements and a gateway to the Kimberley region.
  • C. Fairmont
    Fairmont is a global luxury hotel brand known for its historic landmark properties and upscale accommodations.
  • D. Dorchester Collection
    Dorchester Collection is a luxury hotel management company that owns and operates a portfolio of high-end, landmark hotels in major cities around the world.
  • E. Hilton
    Hilton is a village and civil parish in South Derbyshire, England, known for its rapid modern expansion and residential developments.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e6926d748190bc8c150fc1860531 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a34b99048190a8e77cd0fe253611 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:45 p.m.