Triple

T1285350
Position Surface form Disambiguated ID Type / Status
Subject John Stott E27421 entity
Predicate familyName P18 FINISHED
Object Stott E84416 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: Stott | Statement: [John Stott, familyName, Stott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stott
Context triple: [John Stott, familyName, Stott]
  • A. Stott chosen
    Stott is a surname notably associated with Alicia Boole Stott, a pioneering mathematician known for her work on four-dimensional polytopes.
  • B. Stotts
    Stotts is the surname of Terry Stotts, an American professional basketball coach known for his tenure as head coach of the Portland Trail Blazers in the NBA.
  • C. Stewart
    Stewart is a common Scottish-origin surname borne by numerous notable figures across politics, law, the arts, and entertainment.
  • D. Stumpff
    Stumpff is a German surname most notably associated with Hans-Jürgen Stumpff, a Luftwaffe general during World War II.
  • E. Stuckart
    Stuckart is a German surname most notably associated with Wilhelm Stuckart, a high-ranking Nazi official and legal theorist involved in formulating racial laws during the Third Reich.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b6dda48190a2e79084adea6ec1 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca3004b648190a4148b0421699bf9 completed March 7, 2026, 10:13 p.m.
Created at: March 1, 2026, 7:51 p.m.