Triple

T16791487
Position Surface form Disambiguated ID Type / Status
Subject Red Dead Redemption E408120 entity
Predicate director P255 FINISHED
Object Rod Edge
Rod Edge is a video game director best known for his work on the acclaimed Western action-adventure game Red Dead Redemption.
 E1233597 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: Rod Edge | Statement: [Red Dead Redemption, director, Rod Edge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rod Edge
Context triple: [Red Dead Redemption, director, Rod Edge]
  • A. Don D. Scott
    Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
  • B. Gene Harrogate
    Gene Harrogate is a comic, hapless young drifter in Cormac McCarthy’s novel "Suttree," known for his bizarre schemes and naive optimism amid the book’s grim setting.
  • C. Alan Osbiston
    Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
  • D. Tom Courtney
    Tom Courtney is the central protagonist of the film "Monsoon," around whom the story’s primary events and character development revolve.
  • E. Matt Rogers
    Matt Rogers is an American entrepreneur and engineer best known as the co-founder of Nest Labs, the smart home technology company behind the Nest Thermostat.
  • 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: Rod Edge
Triple: [Red Dead Redemption, director, Rod Edge]
Generated description
Rod Edge is a video game director best known for his work on the acclaimed Western action-adventure game Red Dead Redemption.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rod Edge
Target entity description: Rod Edge is a video game director best known for his work on the acclaimed Western action-adventure game Red Dead Redemption.
  • A. Don D. Scott
    Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
  • B. Gene Harrogate
    Gene Harrogate is a comic, hapless young drifter in Cormac McCarthy’s novel "Suttree," known for his bizarre schemes and naive optimism amid the book’s grim setting.
  • C. Alan Osbiston
    Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
  • D. Tom Courtney
    Tom Courtney is the central protagonist of the film "Monsoon," around whom the story’s primary events and character development revolve.
  • E. Matt Rogers
    Matt Rogers is an American entrepreneur and engineer best known as the co-founder of Nest Labs, the smart home technology company behind the Nest Thermostat.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a6c9888190b3f8f625b299574d completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0c39108190a332fdc78c053628 completed May 10, 2026, 3:58 p.m.
NEDg Description generation batch_6a00ac621b3881908887b640bf3e3fce completed May 10, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_6a00acc3a9dc819087e07e539760bf34 completed May 10, 2026, 4:05 p.m.
Created at: April 10, 2026, 5:22 a.m.