Triple

T21431914
Position Surface form Disambiguated ID Type / Status
Subject Oliver Stark E528707 entity
Predicate appearedInWork P32051 FINISHED
Object A Boy Called Dad
A Boy Called Dad is a 2009 British drama film that follows a troubled teenage father struggling with responsibility and family relationships.
 E1483395 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: A Boy Called Dad | Statement: [Oliver Stark, appearedInWork, A Boy Called Dad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A Boy Called Dad
Context triple: [Oliver Stark, appearedInWork, A Boy Called Dad]
  • A. Raising Dad
    Raising Dad is an early-2000s American sitcom about a widowed father raising his two daughters, notable for featuring a young Kat Dennings in one of the lead roles.
  • B. Dad’s Home
    Dad’s Home is a television film best known for featuring actress Sharon Case in its cast.
  • C. A Quite Remarkable Father
    A Quite Remarkable Father is a biographical memoir by Leslie Ruth Howard about her father, the renowned British actor Leslie Howard.
  • D. Cat Daddy
    Cat Daddy is the nickname of Kenneth Pogson, best known as the co-founder of the popular Portland-based doughnut shop Voodoo Doughnut.
  • E. My Two Dads
    My Two Dads is an American sitcom from the late 1980s about a teenage girl being raised by two men who may both be her father.
  • 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: A Boy Called Dad
Triple: [Oliver Stark, appearedInWork, A Boy Called Dad]
Generated description
A Boy Called Dad is a 2009 British drama film that follows a troubled teenage father struggling with responsibility and family relationships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A Boy Called Dad
Target entity description: A Boy Called Dad is a 2009 British drama film that follows a troubled teenage father struggling with responsibility and family relationships.
  • A. Raising Dad
    Raising Dad is an early-2000s American sitcom about a widowed father raising his two daughters, notable for featuring a young Kat Dennings in one of the lead roles.
  • B. Dad’s Home
    Dad’s Home is a television film best known for featuring actress Sharon Case in its cast.
  • C. A Quite Remarkable Father
    A Quite Remarkable Father is a biographical memoir by Leslie Ruth Howard about her father, the renowned British actor Leslie Howard.
  • D. Cat Daddy
    Cat Daddy is the nickname of Kenneth Pogson, best known as the co-founder of the popular Portland-based doughnut shop Voodoo Doughnut.
  • E. My Two Dads
    My Two Dads is an American sitcom from the late 1980s about a teenage girl being raised by two men who may both be her father.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b3ec70f08190b84c4f747cfb290f completed April 22, 2026, 11:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c2ae19a08190bdb9c07c31751bf4 completed May 17, 2026, 1:29 p.m.
NEDg Description generation batch_6a09c36e90dc8190b5628ddef17c9796 completed May 17, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_6a09c3e4d2c881908b3438eebbd409f0 completed May 17, 2026, 1:34 p.m.
Created at: April 16, 2026, 5:49 p.m.