Triple

T2423938
Position Surface form Disambiguated ID Type / Status
Subject Beenox E53481 entity
Predicate founder P104 FINISHED
Object Dominic Viens
Dominic Viens is a video game developer best known as the founder of the Quebec City–based game studio Beenox.
 E265688 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: Dominic Viens | Statement: [Beenox, founder, Dominic Viens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dominic Viens
Context triple: [Beenox, founder, Dominic Viens]
  • A. Nicholas Monsour
    Nicholas Monsour is a film editor known for his work on Jordan Peele’s horror film "Nope."
  • B. Mark Gastineau
    Mark Gastineau is a former American football defensive end best known as a star pass rusher for the New York Jets in the 1980s and a key member of the famed "New York Sack Exchange" defensive line.
  • C. Patrick Lussier
    Patrick Lussier is a Canadian film editor, director, and frequent Wes Craven collaborator known for his work in the horror genre.
  • D. Kit Foster
    Kit Foster is one of the children of acclaimed American actress and filmmaker Jodie Foster.
  • E. Charles Meneveau
    Charles Meneveau is a prominent mechanical engineer and physicist known for his influential research in turbulence and fluid dynamics, particularly in large-eddy simulation and multiscale modeling.
  • 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: Dominic Viens
Triple: [Beenox, founder, Dominic Viens]
Generated description
Dominic Viens is a video game developer best known as the founder of the Quebec City–based game studio Beenox.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dominic Viens
Target entity description: Dominic Viens is a video game developer best known as the founder of the Quebec City–based game studio Beenox.
  • A. Nicholas Monsour
    Nicholas Monsour is a film editor known for his work on Jordan Peele’s horror film "Nope."
  • B. Mark Gastineau
    Mark Gastineau is a former American football defensive end best known as a star pass rusher for the New York Jets in the 1980s and a key member of the famed "New York Sack Exchange" defensive line.
  • C. Patrick Lussier
    Patrick Lussier is a Canadian film editor, director, and frequent Wes Craven collaborator known for his work in the horror genre.
  • D. Kit Foster
    Kit Foster is one of the children of acclaimed American actress and filmmaker Jodie Foster.
  • E. Charles Meneveau
    Charles Meneveau is a prominent mechanical engineer and physicist known for his influential research in turbulence and fluid dynamics, particularly in large-eddy simulation and multiscale modeling.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc973aee08190b543492f436f3fe5 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf5e33208190a6899e6672b3daeb completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec590516c81908f5126e203bb3638 completed March 9, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_69aec6194a3c81909055a16553f39e78 completed March 9, 2026, 1:07 p.m.
Created at: March 6, 2026, 9:42 p.m.