Triple

T14218643
Position Surface form Disambiguated ID Type / Status
Subject Ready or Not E352426 entity
Predicate productionCompany P490 FINISHED
Object Vinson Films
Vinson Films is a film production company known for producing the 2019 horror-comedy thriller "Ready or Not."
E1087750 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: Vinson Films | Statement: [Ready or Not, productionCompany, Vinson Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinson Films
Context triple: [Ready or Not, productionCompany, Vinson Films]
  • A. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • B. Linson Films
    Linson Films is a film production company founded by producer Art Linson, known for backing notable movies such as "Fight Club."
  • C. Mandeville Films
    Mandeville Films is an American film and television production company known for producing a range of commercially successful and critically acclaimed movies and series.
  • D. Sunrise Films
    Sunrise Films is a film distribution company known for handling the release of independent and international movies such as "Dinner Rush."
  • E. Waverly Films
    Waverly Films is a Brooklyn-based film and video production collective known for its offbeat comedy shorts, music videos, and collaborations with major studios and brands.
  • 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: Vinson Films
Triple: [Ready or Not, productionCompany, Vinson Films]
Generated description
Vinson Films is a film production company known for producing the 2019 horror-comedy thriller "Ready or Not."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vinson Films
Target entity description: Vinson Films is a film production company known for producing the 2019 horror-comedy thriller "Ready or Not."
  • A. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • B. Linson Films
    Linson Films is a film production company founded by producer Art Linson, known for backing notable movies such as "Fight Club."
  • C. Mandeville Films
    Mandeville Films is an American film and television production company known for producing a range of commercially successful and critically acclaimed movies and series.
  • D. Sunrise Films
    Sunrise Films is a film distribution company known for handling the release of independent and international movies such as "Dinner Rush."
  • E. Waverly Films
    Waverly Films is a Brooklyn-based film and video production collective known for its offbeat comedy shorts, music videos, and collaborations with major studios and brands.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de621258d4819085f358cd2cf109e4 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28121a288190975d5852f9a503d4 completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd29d254608190a9f0b8e5623451aa completed May 8, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69fd2aa5bf3c8190bb62ce780d417b7d completed May 8, 2026, 12:13 a.m.
Created at: April 10, 2026, 1:06 a.m.