Triple

T4114669
Position Surface form Disambiguated ID Type / Status
Subject Buster Bluth E90262 entity
Predicate nickname P55 FINISHED
Object Buster
Buster is a socially awkward, overprotected youngest son from the TV series "Arrested Development," known for his dependence on his mother and his eccentric behavior.
E416275 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: Buster | Statement: [Buster Bluth, nickname, Buster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buster
Context triple: [Buster Bluth, nickname, Buster]
  • A. Buster
    Buster is the official mascot of the Jersey Shore BlueClaws minor league baseball team, entertaining fans at their games and events.
  • B. Buster
    Buster is the nickname of Vivian Burey Marshall, the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • C. Buster the dog
    Buster the dog is a loyal canine companion and recurring supporting character in The Mystery Series, often aiding the protagonists in their investigations.
  • D. Buster Bronco
    Buster Bronco is the costumed horse mascot representing Boise State University's athletic teams.
  • E. Buster Moon
    Buster Moon is the optimistic koala theater owner and main protagonist of Illumination Entertainment’s animated film "Sing," known for his relentless determination to save his failing theater through a singing competition.
  • 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: Buster
Triple: [Buster Bluth, nickname, Buster]
Generated description
Buster is a socially awkward, overprotected youngest son from the TV series "Arrested Development," known for his dependence on his mother and his eccentric behavior.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buster
Target entity description: Buster is a socially awkward, overprotected youngest son from the TV series "Arrested Development," known for his dependence on his mother and his eccentric behavior.
  • A. Buster
    Buster is the nickname of Vivian Burey Marshall, the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • B. Buster
    Buster is the official mascot of the Jersey Shore BlueClaws minor league baseball team, entertaining fans at their games and events.
  • C. Buster the dog
    Buster the dog is a loyal canine companion and recurring supporting character in The Mystery Series, often aiding the protagonists in their investigations.
  • D. Buster Bronco
    Buster Bronco is the costumed horse mascot representing Boise State University's athletic teams.
  • E. Buster Moon
    Buster Moon is the optimistic koala theater owner and main protagonist of Illumination Entertainment’s animated film "Sing," known for his relentless determination to save his failing theater through a singing competition.
  • 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01f07c688190a6e3689667587247 completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576a9158c8190aa0068d955fb174d completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577653214819093396a8601e52245 completed March 14, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69b57b90cb308190ba102f999795829c completed March 14, 2026, 3:15 p.m.
Created at: March 9, 2026, 3:41 p.m.