Triple

T4961290
Position Surface form Disambiguated ID Type / Status
Subject Anneke Wills E111412 entity
Predicate coStarredWith P14987 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: [Anneke Wills, coStarredWith, William Hartnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Hartnell
Context triple: [Anneke Wills, coStarredWith, 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71dc06a48190827d54a5c0351aab completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81e7dba88190ab0f2d99a931cf0e completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:32 p.m.