Triple

T7643695
Position Surface form Disambiguated ID Type / Status
Subject Scar E173069 entity
Predicate portrayedBy P1507 FINISHED
Object John Vickery
John Vickery is an American actor known for his work in film, television, and theater, including notable roles in genre series and stage productions.
 E692365 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: John Vickery | Statement: [Scar, portrayedBy, John Vickery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Vickery
Context triple: [Scar, portrayedBy, John Vickery]
  • A. George Briggs
    George Briggs is a drifter and claim jumper in the American frontier who becomes an unlikely escort for three mentally ill women in the novel and film "The Homesman."
  • B. John Vance
    John Vance is a British legal figure who succeeded Henry Wade as Director of Public Prosecutions in England and Wales.
  • C. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • D. Vernon Shaw
    Vernon Shaw was a Dominican politician who served as the fifth President of the Commonwealth of Dominica from 1998 to 2003.
  • E. Anthony McHenry
    Anthony McHenry is an American professional basketball player best known for his long, successful career in Japan’s B.League, particularly as a key contributor to the Ryukyu Golden Kings.
  • 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: John Vickery
Triple: [Scar, portrayedBy, John Vickery]
Generated description
John Vickery is an American actor known for his work in film, television, and theater, including notable roles in genre series and stage productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Vickery
Target entity description: John Vickery is an American actor known for his work in film, television, and theater, including notable roles in genre series and stage productions.
  • A. George Briggs
    George Briggs is a drifter and claim jumper in the American frontier who becomes an unlikely escort for three mentally ill women in the novel and film "The Homesman."
  • B. John Vance
    John Vance is a British legal figure who succeeded Henry Wade as Director of Public Prosecutions in England and Wales.
  • C. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • D. Vernon Shaw
    Vernon Shaw was a Dominican politician who served as the fifth President of the Commonwealth of Dominica from 1998 to 2003.
  • E. Anthony McHenry
    Anthony McHenry is an American professional basketball player best known for his long, successful career in Japan’s B.League, particularly as a key contributor to the Ryukyu Golden Kings.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faf13858819095262664e1e04eb7 completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca0f1021148190b85ec086f79787d4 completed March 30, 2026, 5:50 a.m.
NEDg Description generation batch_69ca10d315dc819094b7cf09af882f39 completed March 30, 2026, 5:57 a.m.
NED2 Entity disambiguation (via description) batch_69ca11207bd081908acf8617b9371e54 completed March 30, 2026, 5:58 a.m.
Created at: March 27, 2026, 3:58 p.m.