Triple

T18811076
Position Surface form Disambiguated ID Type / Status
Subject Gus Malzahn E460016 entity
Predicate nickname P55 FINISHED
Object Gus
Gus is the commonly used nickname of Gus Malzahn, an American college football coach known for his innovative offensive schemes and tenure at Auburn University.
E1344222 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: Gus | Statement: [Gus Malzahn, nickname, Gus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gus
Context triple: [Gus Malzahn, nickname, Gus]
  • A. Gus
    Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
  • B. Gus
    Gus is the lovable, chubby mouse in Disney's 1950 animated film "Cinderella," known for his comic relief and loyal friendship to Cinderella.
  • C. Gus
    Gus is the nickname of Virgil "Gus" Grissom, one of NASA's original Mercury Seven astronauts and a pioneering American spacefarer.
  • D. Gus
    Gus is a 1976 Disney sports comedy film about a football team that gains an unlikely advantage from a field-goal-kicking mule.
  • E. Gus
    Gus is one of the two hitmen at the center of Harold Pinter’s play "The Dumb Waiter," known for his anxious, questioning nature and tense exchanges in the basement setting.
  • 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: Gus
Triple: [Gus Malzahn, nickname, Gus]
Generated description
Gus is the commonly used nickname of Gus Malzahn, an American college football coach known for his innovative offensive schemes and tenure at Auburn University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gus
Target entity description: Gus is the commonly used nickname of Gus Malzahn, an American college football coach known for his innovative offensive schemes and tenure at Auburn University.
  • A. Gus
    Gus is the affectionate nickname of Burton "Gus" Guster, the loyal and often cautious best friend and business partner in the TV series "Psych."
  • B. Gus
    Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
  • C. Gus
    Gus is the given name of Gus Hall, an American communist leader and longtime head of the Communist Party USA.
  • D. Gus
    Gus is the nickname of Virgil "Gus" Grissom, one of NASA's original Mercury Seven astronauts and a pioneering American spacefarer.
  • E. Gus
    Gus is the alias of Gustavo Fring, a meticulous and feared drug kingpin who operates under the guise of a respected fast-food chain owner in the television series "Breaking Bad" and its prequel "Better Call Saul."
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3dc01248190ab1c8943d180ca05 completed April 20, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bc3e9288190aae8377b0916c6f3 completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055f29b0ec8190ab40d9ecd896cd0d completed May 14, 2026, 5:35 a.m.
NED2 Entity disambiguation (via description) batch_6a055ffb2d408190a111e58759c4756e completed May 14, 2026, 5:39 a.m.
Created at: April 10, 2026, 11:53 a.m.