Triple

T8486293
Position Surface form Disambiguated ID Type / Status
Subject Millions E200839 entity
Predicate mainCharacter P1183 FINISHED
Object Damian Cunningham
Damian Cunningham is the imaginative young boy protagonist of the film "Millions," whose discovery of a bag of money leads to moral and spiritual dilemmas.
 E743054 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: Damian Cunningham | Statement: [Millions, mainCharacter, Damian Cunningham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Damian Cunningham
Context triple: [Millions, mainCharacter, Damian Cunningham]
  • A. Damien Fahey
    Damien Fahey is an American television host, radio DJ, and writer best known for his tenure as a VJ and host on MTV.
  • B. Damien Hardwick
    Damien Hardwick is a former Australian rules footballer and highly successful AFL coach best known for leading the Richmond Football Club to multiple premierships.
  • C. Damien LeVeck
    Damien LeVeck is a film editor and director known for his work in genre and independent cinema.
  • D. Damon Richards
    Damon Richards is the central protagonist of the television series "Pose," around whom much of the show's narrative and character development revolves.
  • E. Damian Jones
    Damian Jones is a British film producer known for backing a wide range of acclaimed independent and mainstream films.
  • 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: Damian Cunningham
Triple: [Millions, mainCharacter, Damian Cunningham]
Generated description
Damian Cunningham is the imaginative young boy protagonist of the film "Millions," whose discovery of a bag of money leads to moral and spiritual dilemmas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Damian Cunningham
Target entity description: Damian Cunningham is the imaginative young boy protagonist of the film "Millions," whose discovery of a bag of money leads to moral and spiritual dilemmas.
  • A. Damien Fahey
    Damien Fahey is an American television host, radio DJ, and writer best known for his tenure as a VJ and host on MTV.
  • B. Damien Hardwick
    Damien Hardwick is a former Australian rules footballer and highly successful AFL coach best known for leading the Richmond Football Club to multiple premierships.
  • C. Damien LeVeck
    Damien LeVeck is a film editor and director known for his work in genre and independent cinema.
  • D. Damon Richards
    Damon Richards is the central protagonist of the television series "Pose," around whom much of the show's narrative and character development revolves.
  • E. Damian Jones
    Damian Jones is a British film producer known for backing a wide range of acclaimed independent and mainstream films.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88d3e2808190856ee01cc20fbaec completed April 2, 2026, 3:18 p.m.
NEDg Description generation batch_69ce8b61a8f48190aa4555d39056ee16 completed April 2, 2026, 3:29 p.m.
NED2 Entity disambiguation (via description) batch_69ce8c03480081909120e2f790fe4394 completed April 2, 2026, 3:32 p.m.
Created at: March 30, 2026, 6:13 p.m.