Triple

T5317669
Position Surface form Disambiguated ID Type / Status
Subject Dixon of Dock Green E121590 entity
Predicate creator P184 FINISHED
Object Ted Willis E214083 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: Ted Willis | Statement: [Dixon of Dock Green, creator, Ted Willis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Willis
Context triple: [Dixon of Dock Green, creator, Ted Willis]
  • A. Ted Willis chosen
    Ted Willis was a prominent British screenwriter and playwright known for his prolific work in film and television during the mid-20th century.
  • B. John Willis
    John Willis was a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • C. Warren Mitchell
    Warren Mitchell was a British actor best known for his portrayal of the outspoken Alf Garnett in the television sitcom "Till Death Us Do Part."
  • D. Brian David Willis
    Brian David Willis is a musician best known as a member of the American rock band Quarterflash.
  • E. Fred Williamson
    Fred Williamson is an American actor and former professional football player best known for his roles in 1970s blaxploitation films and numerous action and genre 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd855269ac8190bb7a9248d04f1823 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf332d0c608190be0c8e740fe216b7 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 1:59 p.m.