Triple

T15035206
Position Surface form Disambiguated ID Type / Status
Subject Polly E378461 entity
Predicate portrayedBy P1507 FINISHED
Object Anneke Wills E111412 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: Anneke Wills | Statement: [Polly, portrayedBy, Anneke Wills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anneke Wills
Context triple: [Polly, portrayedBy, Anneke Wills]
  • A. Anneke Wills chosen
    Anneke Wills is a British actress best known for playing the companion Polly in the classic science fiction television series Doctor Who during the 1960s.
  • B. Patricia Clarkson
    Patricia Clarkson is an American actress acclaimed for her versatile performances in film, television, and theater, often in complex supporting roles.
  • C. Mary Bellingham
    Mary Bellingham was the wife of John Bellingham, the man infamous for assassinating British Prime Minister Spencer Perceval in 1812.
  • D. Anita Radcliffe
    Anita Radcliffe is a kind-hearted, elegant young woman in Disney's "One Hundred and One Dalmatians," known as the human owner of Perdita and wife of Roger.
  • E. Kathleen Freeman
    Kathleen Freeman was an American character actress known for her prolific work in film and television comedies, including memorable roles in classics like The Nutty Professor and The Blues Brothers.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82b29948190acda49cbec3f927a completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82dfbc28819090cf56f16b5e7c39 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 2:59 a.m.