Triple

T18851
Position Surface form Disambiguated ID Type / Status
Subject Wes Wise E372 entity
Predicate name P16 FINISHED
Object Wes Wise E372 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: Wes Wise | Statement: [Wes Wise, name, Wes Wise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wes Wise
Context triple: [Wes Wise, name, Wes Wise]
  • A. Wes Wise chosen
    Wes Wise is an American journalist and politician who served as mayor of Dallas, Texas, in the 1970s.
  • B. John Dustin Archbold
    John Dustin Archbold was an American industrialist and key executive of the Standard Oil Company who became one of the most prominent figures in the early U.S. petroleum industry.
  • C. Greg Wise
    Greg Wise is a British actor and producer known for roles in period dramas such as "Sense and Sensibility" and for his long-term partnership with actress and writer Emma Thompson.
  • D. Justyn Wojsznis
    Justyn Wojsznis was a Polish mountaineer known for participating in the first recorded ascent of Ojos del Salado, the world’s highest active volcano.
  • E. Will Firth
    Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
  • 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a2465d9038819087f875a5afac9541 completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3280cebb48190bffad33be40dc175 completed Feb. 28, 2026, 5:38 p.m.
Created at: Feb. 28, 2026, 1:14 a.m.