Triple

T7561083
Position Surface form Disambiguated ID Type / Status
Subject Taken E178794 entity
Predicate productionCompany P490 FINISHED
Object Grive Productions
Grive Productions is a film production company best known for its involvement in the action-thriller movie "Taken."
E673178 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: Grive Productions | Statement: [Taken, productionCompany, Grive Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grive Productions
Context triple: [Taken, productionCompany, Grive Productions]
  • A. Gravier Productions
    Gravier Productions is an American film production company best known for producing many of Woody Allen’s later films, including "Blue Jasmine."
  • B. Cantharus Productions
    Cantharus Productions is a film production company best known for its involvement in the 1983 superhero movie "Superman III."
  • C. Talpa Productions
    Talpa Productions is a Dutch television production company best known for creating internationally successful reality and talent show formats.
  • D. Indelible Productions
    Indelible Productions is a film production company best known for its work on the thriller movie "Panic Room."
  • E. Ostar Productions
    Ostar Productions is a television production company best known for producing the crime drama series "Rizzoli & Isles."
  • 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: Grive Productions
Triple: [Taken, productionCompany, Grive Productions]
Generated description
Grive Productions is a film production company best known for its involvement in the action-thriller movie "Taken."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grive Productions
Target entity description: Grive Productions is a film production company best known for its involvement in the action-thriller movie "Taken."
  • A. Gravier Productions
    Gravier Productions is an American film production company best known for producing many of Woody Allen’s later films, including "Blue Jasmine."
  • B. Cantharus Productions
    Cantharus Productions is a film production company best known for its involvement in the 1983 superhero movie "Superman III."
  • C. Talpa Productions
    Talpa Productions is a Dutch television production company best known for creating internationally successful reality and talent show formats.
  • D. Indelible Productions
    Indelible Productions is a film production company best known for its work on the thriller movie "Panic Room."
  • E. Ostar Productions
    Ostar Productions is a television production company best known for producing the crime drama series "Rizzoli & Isles."
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8f847c48190a1081aa9de7ff945 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d0cbfc8190b2cb2b601a7b078c completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c857e2b6b08190ad5236352d0142be completed March 28, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69c8587de3588190a209069dfee31a21 completed March 28, 2026, 10:38 p.m.
Created at: March 27, 2026, 3:50 p.m.