Triple

T16845940
Position Surface form Disambiguated ID Type / Status
Subject Cyberwoman E409538 entity
Predicate writtenBy P806 FINISHED
Object Chris Chibnall E354210 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: Chris Chibnall | Statement: [Cyberwoman, writtenBy, Chris Chibnall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Chibnall
Context triple: [Cyberwoman, writtenBy, Chris Chibnall]
  • A. Chris Chibnall chosen
    Chris Chibnall is a British television writer and producer best known as the showrunner of Doctor Who during the Jodie Whittaker era and the creator of the crime drama Broadchurch.
  • B. Jonathan Chibnall
    Jonathan Chibnall is a film editor best known for his work on the Western thriller "Seraphim Falls."
  • C. Russell T Davies
    Russell T Davies is a Welsh television writer and producer best known for successfully reviving and showrunning the long-running British sci-fi series Doctor Who in the 21st century.
  • D. Neil Clarke
    Neil Clarke is an influential science fiction editor and publisher, best known as the founder and editor-in-chief of the award-winning magazine Clarkesworld.
  • E. Jed Mercurio
    Jed Mercurio is a British television writer, producer, and former physician best known for creating acclaimed drama series such as Line of Duty and Bodyguard.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3541a008190b2a97cfea92b170f completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1b47648190909eaaf4e1e8e4c3 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.