Triple

T9839662
Position Surface form Disambiguated ID Type / Status
Subject True Believer E239188 entity
Predicate starring P1507 FINISHED
Object Graham Beckel
Graham Beckel is an American character actor known for his supporting roles in film and television, including appearances in movies like "True Believer" and "L.A. Confidential."
E825462 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: Graham Beckel | Statement: [True Believer, starring, Graham Beckel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graham Beckel
Context triple: [True Believer, starring, Graham Beckel]
  • A. Danny Beckley
    Danny Beckley is an arts executive who serves as the chief executive of the Kansas City Symphony, overseeing its strategic direction and operations.
  • B. Ian Beck
    Ian Beck is a British illustrator and author best known for his distinctive cover art and illustrations for books and music albums.
  • C. Steve Beckett
    Steve Beckett is a British music executive best known as the co-founder of the influential electronic music label Warp Records.
  • D. Michael Begler
    Michael Begler is an American television writer and producer best known for co-creating the period medical drama series "The Knick."
  • E. John Hirschbeck
    John Hirschbeck is a former Major League Baseball umpire who worked in the league for decades and officiated multiple World Series.
  • 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: Graham Beckel
Triple: [True Believer, starring, Graham Beckel]
Generated description
Graham Beckel is an American character actor known for his supporting roles in film and television, including appearances in movies like "True Believer" and "L.A. Confidential."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Graham Beckel
Target entity description: Graham Beckel is an American character actor known for his supporting roles in film and television, including appearances in movies like "True Believer" and "L.A. Confidential."
  • A. Danny Beckley
    Danny Beckley is an arts executive who serves as the chief executive of the Kansas City Symphony, overseeing its strategic direction and operations.
  • B. Ian Beck
    Ian Beck is a British illustrator and author best known for his distinctive cover art and illustrations for books and music albums.
  • C. Steve Beckett
    Steve Beckett is a British music executive best known as the co-founder of the influential electronic music label Warp Records.
  • D. Michael Begler
    Michael Begler is an American television writer and producer best known for co-creating the period medical drama series "The Knick."
  • E. John Hirschbeck
    John Hirschbeck is a former Major League Baseball umpire who worked in the league for decades and officiated multiple World Series.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34b045481908f89abd576aab497 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d5484c8190a78ccd0e9816ba51 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d9c17a308190818dd21e7e53af9d completed April 5, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_69d1da4ee3588190aa46d2eeffd0eabd completed April 5, 2026, 3:43 a.m.
Created at: March 30, 2026, 8:33 p.m.