Triple

T19058798
Position Surface form Disambiguated ID Type / Status
Subject William Wade E466467 entity
Predicate usedBy P260 FINISHED
Object William Wade (American politician) 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: William Wade (American politician) | Statement: [William Wade, usedBy, William Wade (American politician)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Wade (American politician)
Context triple: [William Wade, usedBy, William Wade (American politician)]
  • A. William Wade chosen
    William Wade is a personal name shared by multiple notable individuals across fields such as politics, religion, and the arts.
  • B. Wade Williams
    Wade Williams is an American actor best known for playing correctional officer Brad Bellick on the television series "Prison Break."
  • C. Ben Wade
    Ben Wade is the charismatic yet ruthless outlaw leader portrayed by Russell Crowe in the 2007 Western film "3:10 to Yuma."
  • D. Jack Wade
    Jack Wade is a fictional CIA agent character from the James Bond film series, notably appearing in "GoldenEye" and "Tomorrow Never Dies."
  • E. John Wade
    John Wade is a relatively common personal name shared by multiple individuals across various professions and historical periods.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc08572c8190af2f8bcfe9d1616c completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.