Triple

T19362614
Position Surface form Disambiguated ID Type / Status
Subject Crossfire E484318 entity
Predicate hadHost P46400 FINISHED
Object Bob Beckel
Bob Beckel was an American political commentator and Democratic strategist best known for his outspoken television punditry on cable news programs.
E1371817 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: Bob Beckel | Statement: [Crossfire, hadHost, Bob Beckel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Beckel
Context triple: [Crossfire, hadHost, Bob Beckel]
  • A. 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."
  • B. Paul Beck
    Paul Beck is a relatively obscure individual whose primary distinction is sharing the surname associated with more widely recognized figures like musician Beck.
  • C. Glen Becker
    Glen Becker is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • D. Harold Becker
    Harold Becker is an American film director known for character-driven thrillers and dramas such as "Taps," "Sea of Love," and "Malice."
  • E. Greg Beeman
    Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
  • 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: Bob Beckel
Triple: [Crossfire, hadHost, Bob Beckel]
Generated description
Bob Beckel was an American political commentator and Democratic strategist best known for his outspoken television punditry on cable news programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bob Beckel
Target entity description: Bob Beckel was an American political commentator and Democratic strategist best known for his outspoken television punditry on cable news programs.
  • A. 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."
  • B. Paul Beck
    Paul Beck is a relatively obscure individual whose primary distinction is sharing the surname associated with more widely recognized figures like musician Beck.
  • C. Glen Becker
    Glen Becker is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • D. Harold Becker
    Harold Becker is an American film director known for character-driven thrillers and dramas such as "Taps," "Sea of Love," and "Malice."
  • E. Greg Beeman
    Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619a897008190a2c62a50ca60de2d completed April 20, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0724121ba48190b4246ddc8486eac0 completed May 15, 2026, 1:48 p.m.
NEDg Description generation batch_6a0724b06e688190b33ff7c5a734661f completed May 15, 2026, 1:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0726b56b548190829a0ec5af6fb929 completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:34 p.m.