Triple

T4934129
Position Surface form Disambiguated ID Type / Status
Subject Ron Wilson E110769 entity
Predicate name P16 FINISHED
Object Ronald Lawrence Wilson E434361 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: Ronald Lawrence Wilson | Statement: [Ron Wilson, name, Ronald Lawrence Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronald Lawrence Wilson
Context triple: [Ron Wilson, name, Ronald Lawrence Wilson]
  • A. Ronald Wilson chosen
    Ronald Wilson was a television director best known for his work on the BBC adaptation of Anthony Trollope’s political novel series "The Pallisers."
  • B. Richard J. Wilson
    Richard J. Wilson is a British mathematician and author known for his work in graph theory and for co-writing influential popular and academic mathematics books.
  • C. Fred Brown
    Fred Brown is a former American professional basketball guard best known for his long tenure and sharpshooting with the Seattle SuperSonics in the 1970s and early 1980s.
  • D. Wm. Rogers
    Wm. Rogers is a historic American silverware and silverplate brand originally associated with silversmith William Rogers and known for its widely collected flatware patterns.
  • E. Richard Johnson
    Richard Johnson was a British actor known for his work in mid-20th-century film and television, including prominent roles in war and horror movies.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7066ed548190a76a9559f90e3869 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77b74c748190a995a26f45b79ee9 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.