Triple

T19579494
Position Surface form Disambiguated ID Type / Status
Subject The Rocket E489948 entity
Predicate producer P490 FINISHED
Object Denise Robert 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: Denise Robert | Statement: [The Rocket, producer, Denise Robert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denise Robert
Context triple: [The Rocket, producer, Denise Robert]
  • A. Denise Robert chosen
    Denise Robert is a Canadian film producer known for her work on acclaimed Quebec cinema, including collaborations with director Denys Arcand.
  • B. Denise Paul
    Denise Paul is a television producer best known for her work on the Doctor Who mini-episode "The Night of the Doctor."
  • C. Denise Nicholas
    Denise Nicholas is an American actress and civil rights activist best known for her television roles in series such as "Room 222" and "In the Heat of the Night."
  • D. 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.
  • E. Denise Browne
    Denise Browne is a notable individual distinguished enough to be recognized as a prominent bearer of the Browne surname.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402763b8819099e535979f094f9d completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.