Triple

T17014178
Position Surface form Disambiguated ID Type / Status
Subject Blake's 7 E412774 entity
Predicate executiveProducer P7225 FINISHED
Object David Maloney 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: David Maloney | Statement: [Blake's 7, executiveProducer, David Maloney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Maloney
Context triple: [Blake's 7, executiveProducer, David Maloney]
  • A. David Maloney chosen
    David Maloney was a British television director best known for his work on classic Doctor Who serials and other BBC dramas in the 1960s and 1970s.
  • B. James Maloney
    James Maloney is an actor known for appearing in the classic television series "The Twilight Zone," including the episode "A Stop at Willoughby."
  • C. Michael Maloney
    Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
  • D. David Malloy
    David Malloy is an American songwriter and record producer known for his work in country and pop music, including numerous hits for artists like Kenny Rogers and Eddie Rabbitt.
  • E. Christopher Murney
    Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47e64f081908f43870c7564d0ae completed April 18, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:33 a.m.