Triple

T7494659
Position Surface form Disambiguated ID Type / Status
Subject Tron E177092 entity
Predicate portrayedBy P1507 FINISHED
Object Barnard Hughes
Barnard Hughes was an American character actor known for his work in film, television, and theater, often playing kindly or eccentric older men.
 E686836 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: Barnard Hughes | Statement: [Tron, portrayedBy, Barnard Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barnard Hughes
Context triple: [Tron, portrayedBy, Barnard Hughes]
  • A. Francis Hughes
    Francis Hughes was a Provisional Irish Republican Army volunteer from Northern Ireland who became widely known for dying on hunger strike in the Maze Prison in 1981.
  • B. George Buckley
    George Buckley is a British businessman best known for serving as the chairman and CEO of 3M.
  • C. Sidney Lanfield
    Sidney Lanfield was an American film and television director best known for his work on Hollywood comedies and genre films from the 1930s through the 1950s.
  • D. John Bainbridge
    John Bainbridge was a 17th-century English astronomer and physician noted for his early telescopic observations and influential astronomical writings.
  • E. Victor A. Crutchley
    Victor A. Crutchley was a British Royal Navy admiral and Victoria Cross recipient who served with distinction in both World Wars.
  • 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: Barnard Hughes
Triple: [Tron, portrayedBy, Barnard Hughes]
Generated description
Barnard Hughes was an American character actor known for his work in film, television, and theater, often playing kindly or eccentric older men.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barnard Hughes
Target entity description: Barnard Hughes was an American character actor known for his work in film, television, and theater, often playing kindly or eccentric older men.
  • A. Francis Hughes
    Francis Hughes was a Provisional Irish Republican Army volunteer from Northern Ireland who became widely known for dying on hunger strike in the Maze Prison in 1981.
  • B. George Buckley
    George Buckley is a British businessman best known for serving as the chairman and CEO of 3M.
  • C. Sidney Lanfield
    Sidney Lanfield was an American film and television director best known for his work on Hollywood comedies and genre films from the 1930s through the 1950s.
  • D. John Bainbridge
    John Bainbridge was a 17th-century English astronomer and physician noted for his early telescopic observations and influential astronomical writings.
  • E. Victor A. Crutchley
    Victor A. Crutchley was a British Royal Navy admiral and Victoria Cross recipient who served with distinction in both World Wars.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57b5b4c8190ab839e6a98ee86ed completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7adaf3c819095214864b91316f6 completed March 29, 2026, 6:33 a.m.
NEDg Description generation batch_69c8c8e3da1c81909088b3769e2dd8d9 completed March 29, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69c8c95056f08190885f3a2ebaa8a1db completed March 29, 2026, 6:40 a.m.
Created at: March 27, 2026, 3:43 p.m.