Triple

T11171788
Position Surface form Disambiguated ID Type / Status
Subject The Smoke E264289 entity
Predicate starring 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 Smoke, starring, Jodie Whittaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jodie Whittaker
Context triple: [The Smoke, starring, 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. Jane Tranter
    Jane Tranter is a British television producer and executive known for her influential work at the BBC and for overseeing high-profile dramas and comedies in the UK and US.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463b155a08190b361b38a39d25b1f completed April 19, 2026, 5:10 a.m.
Created at: April 8, 2026, 9:29 p.m.