Triple

T12421086
Position Surface form Disambiguated ID Type / Status
Subject William Russell E296772 entity
Predicate workedWith P398 FINISHED
Object William Hartnell E362146 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: William Hartnell | Statement: [William Russell, workedWith, William Hartnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Hartnell
Context triple: [William Russell, workedWith, William Hartnell]
  • A. William Hartnell chosen
    William Hartnell was an English actor best known for originating the role of the First Doctor in the long-running BBC science fiction series Doctor Who.
  • B. Tom Baker
    Tom Baker is a British actor best known for his iconic portrayal of the Fourth Doctor in the long-running science fiction television series "Doctor Who."
  • C. Clive Merrison
    Clive Merrison is a Welsh actor known for his extensive work in British film, television, and radio, including his acclaimed portrayal of Sherlock Holmes for BBC Radio.
  • D. Norman Fell
    Norman Fell was an American character actor best known for his role as landlord Mr. Roper on the television sitcom "Three's Company."
  • E. Patrick Troughton
    Patrick Troughton was an English actor best known for playing the Second Doctor in the long-running BBC science fiction series Doctor Who.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d702b1481909db5f5bed6292ce0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349552fc81909fe73dea082e3a25 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.