Triple

T17374228
Position Surface form Disambiguated ID Type / Status
Subject Mandip Gill E422392 entity
Predicate workedWith P398 FINISHED
Object Jodie Whittaker NE NERFINISHED

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: [Mandip Gill, workedWith, Jodie Whittaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jodie Whittaker
Context triple: [Mandip Gill, workedWith, 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 (2 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6b71148190bb10e1fac400d6c3 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.