Triple

T14252172
Position Surface form Disambiguated ID Type / Status
Subject Daniel Mays E353295 entity
Predicate portrayed P1668 FINISHED
Object Sergeant Danny Waldron in Line of Duty
Sergeant Danny Waldron in Line of Duty is a volatile and highly skilled armed response officer whose secretive past and morally ambiguous actions drive a major corruption investigation in the British police drama.
E1089570 NE FINISHED

How this triple was built (4 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: Sergeant Danny Waldron in Line of Duty | Statement: [Daniel Mays, portrayed, Sergeant Danny Waldron in Line of Duty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergeant Danny Waldron in Line of Duty
Context triple: [Daniel Mays, portrayed, Sergeant Danny Waldron in Line of Duty]
  • A. Anthony Proctor in Line of Duty
    Anthony Proctor in Line of Duty is a corrupt undercover police officer who secretly works as an intermediary for organized crime within the series' central anti-corruption investigations.
  • B. Tony Gates in Line of Duty
    Tony Gates in Line of Duty is a high-ranking, highly commended police officer whose morally compromised decisions place him at the center of the show's first major corruption investigation.
  • C. Sergeant Michael Downey (fictional character)
    Sergeant Michael Downey is a fictional military non-commissioned officer character, typically portrayed as a disciplined and authoritative figure within his unit.
  • D. Detective Sergeant Robbie Lewis
    Detective Sergeant Robbie Lewis is a fictional Oxford-based police detective, best known as Inspector Morse’s loyal and down-to-earth sidekick in the British crime drama series.
  • E. Detective Stephen Holder in The Killing
    Detective Stephen Holder in The Killing is a streetwise, recovering-addict homicide detective whose rough charm and complex past contrast with his partner Sarah Linden’s more reserved, methodical approach to solving murders.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sergeant Danny Waldron in Line of Duty
Triple: [Daniel Mays, portrayed, Sergeant Danny Waldron in Line of Duty]
Generated description
Sergeant Danny Waldron in Line of Duty is a volatile and highly skilled armed response officer whose secretive past and morally ambiguous actions drive a major corruption investigation in the British police drama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sergeant Danny Waldron in Line of Duty
Target entity description: Sergeant Danny Waldron in Line of Duty is a volatile and highly skilled armed response officer whose secretive past and morally ambiguous actions drive a major corruption investigation in the British police drama.
  • A. Anthony Proctor in Line of Duty
    Anthony Proctor in Line of Duty is a corrupt undercover police officer who secretly works as an intermediary for organized crime within the series' central anti-corruption investigations.
  • B. Tony Gates in Line of Duty
    Tony Gates in Line of Duty is a high-ranking, highly commended police officer whose morally compromised decisions place him at the center of the show's first major corruption investigation.
  • C. Sergeant Michael Downey (fictional character)
    Sergeant Michael Downey is a fictional military non-commissioned officer character, typically portrayed as a disciplined and authoritative figure within his unit.
  • D. Detective Sergeant Robbie Lewis
    Detective Sergeant Robbie Lewis is a fictional Oxford-based police detective, best known as Inspector Morse’s loyal and down-to-earth sidekick in the British crime drama series.
  • E. Detective Stephen Holder in The Killing
    Detective Stephen Holder in The Killing is a streetwise, recovering-addict homicide detective whose rough charm and complex past contrast with his partner Sarah Linden’s more reserved, methodical approach to solving murders.
  • F. None of above. chosen

Provenance (5 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6296f9d0819086f62f525d07eb12 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325a14b881909522b6fbbcc6326f completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd33cba18481908f2dfe358017f11b completed May 8, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69fd346ffb9c81909ec28e514ea5451b completed May 8, 2026, 12:55 a.m.
Created at: April 10, 2026, 1:08 a.m.