Triple

T423269
Position Surface form Disambiguated ID Type / Status
Subject Buffalo Bills E8150 entity
Predicate mascot P52 FINISHED
Object Billy Buffalo
Billy Buffalo is the blue, anthropomorphic buffalo who serves as the official mascot of the NFL’s Buffalo Bills, entertaining fans at games and team events.
 E53777 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: Billy Buffalo | Statement: [Buffalo Bills, mascot, Billy Buffalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Billy Buffalo
Context triple: [Buffalo Bills, mascot, Billy Buffalo]
  • A. Hippo Vaughn
    Hippo Vaughn was an early 20th-century Major League Baseball pitcher best known for his standout seasons with the Chicago Cubs, including a key role in their 1918 pennant-winning campaign.
  • B. Willie
    Willie is the first name of Willie Nelson, the iconic American country music singer-songwriter and cultural figure.
  • C. Bobby
    Bobby is a common diminutive or nickname for the given name Robert, often used in English-speaking countries.
  • D. Wool E. Bull
    Wool E. Bull is the costumed bovine mascot of the Durham Bulls minor league baseball team, known for entertaining fans with on-field antics and community appearances.
  • E. Jimmy Ba
    Jimmy Ba is a prominent machine learning researcher known for his work on deep learning optimization methods such as the Adam optimizer.
  • 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: Billy Buffalo
Triple: [Buffalo Bills, mascot, Billy Buffalo]
Generated description
Billy Buffalo is the blue, anthropomorphic buffalo who serves as the official mascot of the NFL’s Buffalo Bills, entertaining fans at games and team events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Billy Buffalo
Target entity description: Billy Buffalo is the blue, anthropomorphic buffalo who serves as the official mascot of the NFL’s Buffalo Bills, entertaining fans at games and team events.
  • A. Hippo Vaughn
    Hippo Vaughn was an early 20th-century Major League Baseball pitcher best known for his standout seasons with the Chicago Cubs, including a key role in their 1918 pennant-winning campaign.
  • B. Willie
    Willie is the first name of Willie Nelson, the iconic American country music singer-songwriter and cultural figure.
  • C. Bobby
    Bobby is a common diminutive or nickname for the given name Robert, often used in English-speaking countries.
  • D. Wool E. Bull
    Wool E. Bull is the costumed bovine mascot of the Durham Bulls minor league baseball team, known for entertaining fans with on-field antics and community appearances.
  • E. Jimmy Ba
    Jimmy Ba is a prominent machine learning researcher known for his work on deep learning optimization methods such as the Adam optimizer.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eec200648190bcb9f1b98c8e9cdf completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42a15efe88190b1dc3337bd775723 completed March 1, 2026, 11:59 a.m.
NEDg Description generation batch_69a42a7dc3108190ad644aee25d95d50 completed March 1, 2026, 12:01 p.m.
NED2 Entity disambiguation (via description) batch_69a42b19e7148190816b50e00319b12b completed March 1, 2026, 12:03 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.