Triple

T2432249
Position Surface form Disambiguated ID Type / Status
Subject Treyarch E52872 entity
Predicate foundedBy P104 FINISHED
Object Don Likeness
Don Likeness is a video game industry figure best known as a founder of the game development studio Treyarch, which created several major Call of Duty titles.
 E264768 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: Don Likeness | Statement: [Treyarch, foundedBy, Don Likeness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Don Likeness
Context triple: [Treyarch, foundedBy, Don Likeness]
  • A. Louie
    Louie is the furry blue polar bear mascot of the NHL’s St. Louis Blues, known for entertaining fans at games and team events.
  • B. Johnny
    Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
  • C. Mr. T
    Mr. T is the internal codename for the original Macintosh Plus personal computer developed by Apple in the mid-1980s.
  • D. Mr. T
    Mr. T is an American actor and former professional wrestler best known for his tough-guy persona, distinctive mohawk and gold chains, and iconic roles in 1980s pop culture.
  • E. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • 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: Don Likeness
Triple: [Treyarch, foundedBy, Don Likeness]
Generated description
Don Likeness is a video game industry figure best known as a founder of the game development studio Treyarch, which created several major Call of Duty titles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Don Likeness
Target entity description: Don Likeness is a video game industry figure best known as a founder of the game development studio Treyarch, which created several major Call of Duty titles.
  • A. Louie
    Louie is the furry blue polar bear mascot of the NHL’s St. Louis Blues, known for entertaining fans at games and team events.
  • B. Johnny
    Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
  • C. Mr. T
    Mr. T is the internal codename for the original Macintosh Plus personal computer developed by Apple in the mid-1980s.
  • D. Mr. T
    Mr. T is an American actor and former professional wrestler best known for his tough-guy persona, distinctive mohawk and gold chains, and iconic roles in 1980s pop culture.
  • E. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9c915e881908d97ae4ccc83ab53 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf68d6a481909acd43eb31660f0e completed March 9, 2026, 12:39 p.m.
NEDg Description generation batch_69aec16e9158819087139fd3e86785b0 completed March 9, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69aec2065b608190bcdc4dd2d82be9d6 completed March 9, 2026, 12:50 p.m.
Created at: March 6, 2026, 9:43 p.m.