Triple

T12008815
Position Surface form Disambiguated ID Type / Status
Subject Anna Maxwell Martin E285852 entity
Predicate notableWork P4 FINISHED
Object Line of Duty E348021 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: Line of Duty | Statement: [Anna Maxwell Martin, notableWork, Line of Duty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line of Duty
Context triple: [Anna Maxwell Martin, notableWork, Line of Duty]
  • A. Line of Duty chosen
    Line of Duty is a British crime drama television series that follows an anti-corruption police unit investigating complex and morally ambiguous cases within the force.
  • B. MI-5
    MI-5 is a British spy thriller film (also known as "Spooks: The Greater Good") based on the TV series "Spooks," featuring David Oyelowo in a prominent role.
  • C. Spooks
    Spooks is a British television spy drama series centered on the high-stakes operations of MI5 officers.
  • D. In the Line of Duty: Kidnapped
    In the Line of Duty: Kidnapped is a made-for-television crime drama film produced by Gerald W. Abrams as part of the "In the Line of Duty" series.
  • E. Silent Witness
    Silent Witness is a long-running British crime drama television series that follows forensic pathologists as they investigate complex and often disturbing deaths.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d61a4c81909e6cb6500b61df94 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b1570208190a08c64e028f67d81 completed May 1, 2026, 11:14 a.m.
Created at: April 8, 2026, 9:46 p.m.