Triple

T7257009
Position Surface form Disambiguated ID Type / Status
Subject Spanglish E157746 entity
Predicate mainCharacter P1183 FINISHED
Object John Clasky
John Clasky is the stressed but well-meaning upscale chef and family man at the center of the film "Spanglish," whose personal and cultural conflicts drive much of the story’s emotional tension.
 E652200 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 Clasky | Statement: [Spanglish, mainCharacter, John Clasky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Clasky
Context triple: [Spanglish, mainCharacter, John Clasky]
  • A. David Clouse
    David Clouse is an entrepreneur best known as the founder of the vacation rental platform Vrbo (Vacation Rentals by Owner).
  • B. Cliff DeYoung
    Cliff DeYoung is an American actor and musician known for his work in film, television, and stage since the 1970s.
  • C. John Clarkson
    John Clarkson was a British abolitionist and naval officer who played a key role in establishing the Sierra Leone colony for freed slaves in the late 18th century.
  • D. Dan Rydell
    Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
  • E. Michael Krieger
    Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
  • 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 Clasky
Triple: [Spanglish, mainCharacter, John Clasky]
Generated description
John Clasky is the stressed but well-meaning upscale chef and family man at the center of the film "Spanglish," whose personal and cultural conflicts drive much of the story’s emotional tension.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Clasky
Target entity description: John Clasky is the stressed but well-meaning upscale chef and family man at the center of the film "Spanglish," whose personal and cultural conflicts drive much of the story’s emotional tension.
  • A. David Clouse
    David Clouse is an entrepreneur best known as the founder of the vacation rental platform Vrbo (Vacation Rentals by Owner).
  • B. Cliff DeYoung
    Cliff DeYoung is an American actor and musician known for his work in film, television, and stage since the 1970s.
  • C. John Clarkson
    John Clarkson was a British abolitionist and naval officer who played a key role in establishing the Sierra Leone colony for freed slaves in the late 18th century.
  • D. Dan Rydell
    Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
  • E. Michael Krieger
    Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa274bc8190b017b71583711453 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3b541708190b66233813b167453 completed March 28, 2026, 1:12 p.m.
NEDg Description generation batch_69c7d44e67848190ac52eca99ef18f28 completed March 28, 2026, 1:14 p.m.
NED2 Entity disambiguation (via description) batch_69c7d4fc837c81909827352be19f64b4 completed March 28, 2026, 1:17 p.m.
Created at: March 27, 2026, 2:57 p.m.