Triple

T14276992
Position Surface form Disambiguated ID Type / Status
Subject The Day of the Doctor E353940 entity
Predicate featuresActor P15562 FINISHED
Object Ingrid Oliver E1007135 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: Ingrid Oliver | Statement: [The Day of the Doctor, featuresActor, Ingrid Oliver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingrid Oliver
Context triple: [The Day of the Doctor, featuresActor, Ingrid Oliver]
  • A. Ingrid Oliver chosen
    Ingrid Oliver is a British actress and comedian best known as one half of the comedy duo Watson & Oliver and for her recurring role as Osgood in Doctor Who.
  • B. Susie Liggat
    Susie Liggat is a British television producer known for her work on high-profile drama series, including the 2017 adaptation of "Little Women."
  • C. Claire Jackman
    Claire Jackman is a fictional character portrayed by actress Gina Bellman, known from her work in British television and film.
  • D. Ingrid Pitt
    Ingrid Pitt was a Polish-British actress best known as a cult horror icon for her roles in 1970s British genre films.
  • E. Sheena Shirley Orr
    Sheena Shirley Orr, better known as Sheena Easton, is a Scottish singer and actress who rose to international fame in the 1980s with hits like "Morning Train (Nine to Five)" and "For Your Eyes Only."
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6583f0ec81909ebfc7a2c6351ff8 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326f62b4819084b1e984678991ae completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.