Triple

T22350446
Position Surface form Disambiguated ID Type / Status
Subject Richard Webb E552512 entity
Predicate name P16 FINISHED
Object Richard Webb 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: Richard Webb | Statement: [Richard Webb, name, Richard Webb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Webb
Context triple: [Richard Webb, name, Richard Webb]
  • A. Richard Webb chosen
    Richard Webb was an American film and television actor best known for his roles in mid-20th-century noir and adventure productions.
  • B. Paul Webb
    Paul Webb is a screenwriter best known for writing the screenplay for the historical drama film "Selma" (2014), which chronicles a pivotal chapter in the U.S. civil rights movement.
  • C. William Webb
    William Webb was an Australian jurist who served as the chief judge of the post–World War II Tokyo War Crimes Tribunal.
  • D. Anthony Forwood
    Anthony Forwood was a British actor best known for his film and stage work in the mid-20th century and for his long-term partnership with Dirk Bogarde.
  • E. Roy Webb
    Roy Webb was an American film composer best known for scoring numerous RKO Pictures films, particularly in the 1930s and 1940s.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579ad6708190ba4af97a02d0758d completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:43 p.m.