Triple

T15908120
Position Surface form Disambiguated ID Type / Status
Subject Daniel Stern E385774 entity
Predicate characterPortrayed P1507 FINISHED
Object Phil Berquist
Phil Berquist is a fictional character from the comedy film "City Slickers," portrayed as a middle-aged man grappling with a midlife crisis during a cattle-driving adventure.
E1183669 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: Phil Berquist | Statement: [Daniel Stern, characterPortrayed, Phil Berquist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Berquist
Context triple: [Daniel Stern, characterPortrayed, Phil Berquist]
  • A. Rob Bisel
    Rob Bisel is a Grammy-winning American record producer and engineer best known for his work with artists like SZA and Doja Cat.
  • B. Brian Hargrove
    Brian Hargrove is an American television writer, producer, and occasional actor known for his work on series such as "Caroline in the City" and "Wanda at Large."
  • C. Chris Stover
    Chris Stover is a cinematographer known for his work on the animated racing film "Turbo."
  • D. Derek Huff
    Derek Huff is the arrogant, successful, and bullying younger brother of Brennan Huff in the comedy film "Step Brothers."
  • E. Doug Madsen
    Doug Madsen is a middle-aged suburban man and member of a motorcycle-riding friends group in the comedy film "Wild Hogs."
  • 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: Phil Berquist
Triple: [Daniel Stern, characterPortrayed, Phil Berquist]
Generated description
Phil Berquist is a fictional character from the comedy film "City Slickers," portrayed as a middle-aged man grappling with a midlife crisis during a cattle-driving adventure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Phil Berquist
Target entity description: Phil Berquist is a fictional character from the comedy film "City Slickers," portrayed as a middle-aged man grappling with a midlife crisis during a cattle-driving adventure.
  • A. Rob Bisel
    Rob Bisel is a Grammy-winning American record producer and engineer best known for his work with artists like SZA and Doja Cat.
  • B. Brian Hargrove
    Brian Hargrove is an American television writer, producer, and occasional actor known for his work on series such as "Caroline in the City" and "Wanda at Large."
  • C. Chris Stover
    Chris Stover is a cinematographer known for his work on the animated racing film "Turbo."
  • D. Derek Huff
    Derek Huff is the arrogant, successful, and bullying younger brother of Brennan Huff in the comedy film "Step Brothers."
  • E. Doug Madsen
    Doug Madsen is a middle-aged suburban man and member of a motorcycle-riding friends group in the comedy film "Wild Hogs."
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565c11bc819091b1fd85901a832d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb055307081908a13c98a0e16780c completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb110a5b88190904f763057e8eb1e completed May 9, 2026, 10:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1a5e9b88190b790c81b9500c2ac completed May 9, 2026, 10:13 p.m.
Created at: April 10, 2026, 4:52 a.m.