Triple

T19362616
Position Surface form Disambiguated ID Type / Status
Subject Crossfire E484318 entity
Predicate hadHost P46400 FINISHED
Object Bill Press
Bill Press is an American liberal political commentator, author, and former co-host of CNN’s debate program "Crossfire."
E1371819 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: Bill Press | Statement: [Crossfire, hadHost, Bill Press]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Press
Context triple: [Crossfire, hadHost, Bill Press]
  • A. Bill Matthews
    Bill Matthews is an American singer best known as one of the original members of the vocal quartet The Jordanaires, famed for their work with Elvis Presley and other country and gospel artists.
  • B. Bill Matthews
    Bill Matthews is a fictional character from the British romantic comedy film "Chalet Girl."
  • C. Brian Lamb
    Brian Lamb is an American journalist and television executive best known as the founder and longtime CEO of the public affairs network C-SPAN.
  • D. George Webb
    George Webb was an early 20th-century film actor who appeared in silent-era productions, including the 1917 drama "The Kingdom of Love."
  • E. Howard Kurtz
    Howard Kurtz is an American journalist and media critic best known for hosting media analysis programs on Fox News and CNN and for his long-running media column in The Washington Post.
  • 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: Bill Press
Triple: [Crossfire, hadHost, Bill Press]
Generated description
Bill Press is an American liberal political commentator, author, and former co-host of CNN’s debate program "Crossfire."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bill Press
Target entity description: Bill Press is an American liberal political commentator, author, and former co-host of CNN’s debate program "Crossfire."
  • A. Bill Matthews
    Bill Matthews is a fictional character from the British romantic comedy film "Chalet Girl."
  • B. Bill Matthews
    Bill Matthews is an American singer best known as one of the original members of the vocal quartet The Jordanaires, famed for their work with Elvis Presley and other country and gospel artists.
  • C. Brian Lamb
    Brian Lamb is an American journalist and television executive best known as the founder and longtime CEO of the public affairs network C-SPAN.
  • D. George Webb
    George Webb was an early 20th-century film actor who appeared in silent-era productions, including the 1917 drama "The Kingdom of Love."
  • E. Howard Kurtz
    Howard Kurtz is an American journalist and media critic best known for hosting media analysis programs on Fox News and CNN and for his long-running media column in The Washington Post.
  • 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.