Triple

T22767211
Position Surface form Disambiguated ID Type / Status
Subject Fresh Horses E563157 entity
Predicate mainCharacter P1183 FINISHED
Object Matt Larkin
Matt Larkin is the troubled young protagonist of the 1990 drama film "Fresh Horses," whose life and relationships are upended when he becomes involved with a mysterious teenage girl.
 E1592214 NE FINISHED

How this triple was built (3 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: Matt Larkin | Statement: [Fresh Horses, mainCharacter, Matt Larkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matt Larkin
Context triple: [Fresh Horses, mainCharacter, Matt Larkin]
  • A. Matt Doherty
    Matt Doherty is an Irish professional footballer known primarily as a versatile right-back and wing-back who has played in the Premier League and for the Republic of Ireland national team.
  • B. Kevin O'Connell
    Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
  • C. Doug Heffernan
    Doug Heffernan is the lovable, blue-collar delivery driver and central character from the sitcom "The King of Queens," known for his humorous misadventures and everyday married life in Queens, New York.
  • D. Kevin Duggan
    Kevin Duggan is a relatively obscure individual whose name is shared with multiple people across different professions, such as sports and public service.
  • E. Chris Larkin
    Chris Larkin is a British actor known for his work in film, television, and theatre, and for being the son of acclaimed actress Maggie Smith.
  • 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: Matt Larkin
Triple: [Fresh Horses, mainCharacter, Matt Larkin]
Generated description
Matt Larkin is the troubled young protagonist of the 1990 drama film "Fresh Horses," whose life and relationships are upended when he becomes involved with a mysterious teenage girl.

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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a80e2688190b76844c408929d32 completed April 29, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf21ac008190bc5a6fe32f4b4b50 completed May 19, 2026, 10:07 p.m.
NEDg Description generation batch_6a0ce4602a408190b4357d98cf16477a completed May 19, 2026, 10:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0d721bdae08190a06f48a6073c5351 completed May 20, 2026, 8:34 a.m.
Created at: April 17, 2026, 3:27 p.m.