Triple

T1963698
Position Surface form Disambiguated ID Type / Status
Subject The Imitation Game E42641 entity
Predicate castMember P1668 FINISHED
Object Matthew Beard
Matthew Beard is a British actor known for his roles in films such as "The Imitation Game" and various television and stage productions.
E218648 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: Matthew Beard | Statement: [The Imitation Game, castMember, Matthew Beard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Beard
Context triple: [The Imitation Game, castMember, Matthew Beard]
  • A. Charlie Bewley
    Charlie Bewley is a British actor best known for his roles in the Twilight film series and various independent films and television dramas.
  • B. Geoffrey Beevers
    Geoffrey Beevers is a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
  • C. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • D. Alexander Haddow
    Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
  • E. John Leeson
    John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
  • 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: Matthew Beard
Triple: [The Imitation Game, castMember, Matthew Beard]
Generated description
Matthew Beard is a British actor known for his roles in films such as "The Imitation Game" and various television and stage productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matthew Beard
Target entity description: Matthew Beard is a British actor known for his roles in films such as "The Imitation Game" and various television and stage productions.
  • A. Charlie Bewley
    Charlie Bewley is a British actor best known for his roles in the Twilight film series and various independent films and television dramas.
  • B. Geoffrey Beevers
    Geoffrey Beevers is a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
  • C. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • D. Alexander Haddow
    Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
  • E. John Leeson
    John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3ac31a08190abaecac8badc52c7 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd32eb88190a2069b6490b12e5d completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc5150e48190aa475798c790b767 completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfd10a6a88190818976d709d81596 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.