Triple

T3939030
Position Surface form Disambiguated ID Type / Status
Subject The Doctor E90985 entity
Predicate portrayedBy P1507 FINISHED
Object Jodie Whittaker E49522 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: Jodie Whittaker | Statement: [The Doctor, portrayedBy, Jodie Whittaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jodie Whittaker
Context triple: [The Doctor, portrayedBy, Jodie Whittaker]
  • A. Jodie Whittaker chosen
    Jodie Whittaker is an English actress best known for playing the Thirteenth Doctor in the long-running BBC science fiction series "Doctor Who."
  • B. Jodie Comer
    Jodie Comer is an English actress best known for her critically acclaimed, chameleonic performance as assassin Villanelle in the television series "Killing Eve."
  • C. Ruth Wilson
    Ruth Wilson is an acclaimed English actress known for her versatile performances in film, television, and theatre, including prominent roles in series like "Luther" and "The Affair."
  • D. Jenna-Louise Coleman
    Jenna-Louise Coleman is an English actress best known for playing the companion Clara Oswald in the long-running British science fiction series Doctor Who.
  • E. Michelle Gomez
    Michelle Gomez is a Scottish actress best known for her darkly comedic and villainous roles in television series such as Doctor Who and The Chilling Adventures of Sabrina.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfb12b88190a6ca6574b1aadb6e completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b528922a548190a8e5339deacaefd9 completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:24 p.m.