Triple

T19446130
Position Surface form Disambiguated ID Type / Status
Subject Sir William Davidson Niven E486481 entity
Predicate middleName P143 FINISHED
Object Davidson NE NERFINISHED

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: Davidson | Statement: [Sir William Davidson Niven, middleName, Davidson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davidson
Context triple: [Sir William Davidson Niven, middleName, Davidson]
  • A. Davidson
    Davidson is a small town in North Carolina known primarily as the home of Davidson College and its close-knit, college-centered community.
  • B. Davidson chosen
    Davidson is a surname of Scottish origin borne by numerous notable individuals across fields such as philosophy, politics, sports, and the arts.
  • C. Douglas
    Douglas is a town in South Lanarkshire, Scotland, historically known for its association with the powerful Douglas family and its medieval castle.
  • D. Douglas
    Douglas is a suburban area of Cork, Ireland, known as a residential and commercial hub just southeast of Cork city centre.
  • E. Douglas
    Douglas is a small rural community located within the township of Bonnechere Valley in eastern Ontario, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338a22608190bb31a1690ca0dab6 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.