Triple

T14904699
Position Surface form Disambiguated ID Type / Status
Subject The Name of the Doctor E360098 entity
Predicate producer P490 FINISHED
Object Denise Paul E1219882 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: Denise Paul | Statement: [The Name of the Doctor, producer, Denise Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denise Paul
Context triple: [The Name of the Doctor, producer, Denise Paul]
  • A. Denise Paul chosen
    Denise Paul is a television producer best known for her work on the Doctor Who mini-episode "The Night of the Doctor."
  • B. Denise Robert
    Denise Robert is a Canadian film producer known for her work on acclaimed Quebec cinema, including collaborations with director Denys Arcand.
  • C. Denise Lovett
    Denise Lovett is the ambitious young shopgirl protagonist of the British period drama series "The Paradise," known for her keen business sense and progressive ideas in a 19th-century department store.
  • D. Denise Bauer
    Denise Bauer is a fictional attorney character from the television series "Boston Legal," portrayed by actress Julie Bowen.
  • E. Denise Bryer
    Denise Bryer is a British voice actress best known for her work on classic children's television series such as "The Adventures of Twizzle" and "Terrahawks."
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60cd5588190b1efecc2b220da69 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ec7a4748190822e66a756bc95b9 completed May 10, 2026, 11:40 a.m.
Created at: April 10, 2026, 2:12 a.m.