Triple

T8612345
Position Surface form Disambiguated ID Type / Status
Subject Double Feature E203939 entity
Predicate mainCharacter P1183 FINISHED
Object Sam Dolan
Sam Dolan is the central protagonist of the film "Double Feature," around whom the story’s main events and character dynamics revolve.
 E775017 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: Sam Dolan | Statement: [Double Feature, mainCharacter, Sam Dolan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sam Dolan
Context triple: [Double Feature, mainCharacter, Sam Dolan]
  • A. Ed McHugh
    Ed McHugh is a relative of American character actor Frank McHugh, who was known for his prolific work in early 20th-century film and theater.
  • B. Arthur Dignam
    Arthur Dignam was an Australian actor known for his distinctive character roles in film, television, and theatre.
  • C. Robert Duffy
    Robert Duffy is a film editor known for his work on visually distinctive and stylistically ambitious movies, including the 2006 fantasy film "The Fall."
  • D. John Killoran
    John Killoran is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
  • E. Sam Donnelly
    Sam Donnelly is a television producer best known for serving as an executive producer on the popular talent competition show "America's Got Talent."
  • 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: Sam Dolan
Triple: [Double Feature, mainCharacter, Sam Dolan]
Generated description
Sam Dolan is the central protagonist of the film "Double Feature," around whom the story’s main events and character dynamics revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sam Dolan
Target entity description: Sam Dolan is the central protagonist of the film "Double Feature," around whom the story’s main events and character dynamics revolve.
  • A. Ed McHugh
    Ed McHugh is a relative of American character actor Frank McHugh, who was known for his prolific work in early 20th-century film and theater.
  • B. Arthur Dignam
    Arthur Dignam was an Australian actor known for his distinctive character roles in film, television, and theatre.
  • C. Robert Duffy
    Robert Duffy is a film editor known for his work on visually distinctive and stylistically ambitious movies, including the 2006 fantasy film "The Fall."
  • D. John Killoran
    John Killoran is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
  • E. Sam Donnelly
    Sam Donnelly is a television producer best known for serving as an executive producer on the popular talent competition show "America's Got Talent."
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46fdf21c81908ffc6363e98ab871 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfeae6b0b08190beb13109ba589d81 completed April 3, 2026, 4:29 p.m.
NEDg Description generation batch_69cfec2bde708190b73c7672625e912d completed April 3, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69cfee809b54819089d4d0d5c555e428 completed April 3, 2026, 4:44 p.m.
Created at: March 30, 2026, 6:25 p.m.