Triple

T14805471
Position Surface form Disambiguated ID Type / Status
Subject Line of Duty E348021 entity
Predicate portrayedBy P1507 FINISHED
Object Craig Parkinson
Craig Parkinson is a British actor best known for his role as DI Matthew "Dot" Cottan in the television series "Line of Duty."
E1121311 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: Craig Parkinson | Statement: [Line of Duty, portrayedBy, Craig Parkinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Parkinson
Context triple: [Line of Duty, portrayedBy, Craig Parkinson]
  • A. Mark Parkinson
    Mark Parkinson is an American politician who served as the 45th Governor of Kansas from 2009 to 2011.
  • B. Joe Parkinson
    Joe Parkinson is an American businessman best known as a co-founder and early leader of the semiconductor company Micron Technology.
  • C. Ian Parker
    Ian Parker is a British keyboardist best known for his work with the rock band The Hollies and various other prominent artists.
  • D. Craig Jessop
    Craig Jessop is an American choral conductor best known for his tenure as music director of the Mormon Tabernacle Choir.
  • E. Andrew Parks
    Andrew Parks is an American actor known for his work in film, television, and theater, and as the son of performers Betty Garrett and Larry Parks.
  • 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: Craig Parkinson
Triple: [Line of Duty, portrayedBy, Craig Parkinson]
Generated description
Craig Parkinson is a British actor best known for his role as DI Matthew "Dot" Cottan in the television series "Line of Duty."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Craig Parkinson
Target entity description: Craig Parkinson is a British actor best known for his role as DI Matthew "Dot" Cottan in the television series "Line of Duty."
  • A. Mark Parkinson
    Mark Parkinson is an American politician who served as the 45th Governor of Kansas from 2009 to 2011.
  • B. Joe Parkinson
    Joe Parkinson is an American businessman best known as a co-founder and early leader of the semiconductor company Micron Technology.
  • C. Ian Parker
    Ian Parker is a British keyboardist best known for his work with the rock band The Hollies and various other prominent artists.
  • D. Craig Jessop
    Craig Jessop is an American choral conductor best known for his tenure as music director of the Mormon Tabernacle Choir.
  • E. Andrew Parks
    Andrew Parks is an American actor known for his work in film, television, and theater, and as the son of performers Betty Garrett and Larry Parks.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf32666081908e84f985c47eb963 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c6b3008190a0fac1dace40361a completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe2d9c08d0819094d3affc082f4f8a completed May 8, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe2e0b3514819097f2d9d63cb6a143 completed May 8, 2026, 6:40 p.m.
Created at: April 10, 2026, 1:34 a.m.