Triple

T8486343
Position Surface form Disambiguated ID Type / Status
Subject A Most Violent Year E200840 entity
Predicate productionCompany P490 FINISHED
Object Old Bull Pictures
Old Bull Pictures is a film production company known for its work on the crime drama "A Most Violent Year."
E736165 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: Old Bull Pictures | Statement: [A Most Violent Year, productionCompany, Old Bull Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Bull Pictures
Context triple: [A Most Violent Year, productionCompany, Old Bull Pictures]
  • A. Lewis Pictures
    Lewis Pictures is a South Korean film production company known for backing acclaimed works such as Bong Joon-ho’s fantasy drama "Okja."
  • B. Black Bear Pictures
    Black Bear Pictures is an independent film production company known for financing and producing critically acclaimed feature films.
  • C. Phoenix Pictures
    Phoenix Pictures is an American film production company known for producing critically acclaimed movies such as "Black Swan" and "The Thin Red Line."
  • D. Big Kid Pictures
    Big Kid Pictures is a film production company known for working on the fantasy adventure movie "Jack the Giant Slayer" (2013).
  • E. Nomadic Pictures
    Nomadic Pictures is a Canadian film and television production company known for producing series such as Hell on Wheels and other genre and drama projects.
  • 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: Old Bull Pictures
Triple: [A Most Violent Year, productionCompany, Old Bull Pictures]
Generated description
Old Bull Pictures is a film production company known for its work on the crime drama "A Most Violent Year."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Old Bull Pictures
Target entity description: Old Bull Pictures is a film production company known for its work on the crime drama "A Most Violent Year."
  • A. Lewis Pictures
    Lewis Pictures is a South Korean film production company known for backing acclaimed works such as Bong Joon-ho’s fantasy drama "Okja."
  • B. Black Bear Pictures
    Black Bear Pictures is an independent film production company known for financing and producing critically acclaimed feature films.
  • C. Phoenix Pictures
    Phoenix Pictures is an American film production company known for producing critically acclaimed movies such as "Black Swan" and "The Thin Red Line."
  • D. Big Kid Pictures
    Big Kid Pictures is a film production company known for working on the fantasy adventure movie "Jack the Giant Slayer" (2013).
  • E. Nomadic Pictures
    Nomadic Pictures is a Canadian film and television production company known for producing series such as Hell on Wheels and other genre and drama projects.
  • 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_69ce3a45e30c8190838ac499bbc66fbd completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3c22f3c0819084803630d438c55e completed April 2, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ce3ca57ec081909a14d962eee2c9a5 completed April 2, 2026, 9:53 a.m.
Created at: March 30, 2026, 6:13 p.m.