Triple

T355407
Position Surface form Disambiguated ID Type / Status
Subject Bill Parcells E7531 entity
Predicate nickname P55 FINISHED
Object The Big Tuna
The Big Tuna is the famous nickname of Bill Parcells, a Hall of Fame NFL head coach known for turning struggling teams into contenders.
 E45192 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: The Big Tuna | Statement: [Bill Parcells, nickname, The Big Tuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Big Tuna
Context triple: [Bill Parcells, nickname, The Big Tuna]
  • A. Billy the Marlin
    Billy the Marlin is the colorful, anthropomorphic marlin who serves as the energetic official mascot of Major League Baseball’s Miami Marlins.
  • B. Tiburon
    Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
  • C. The Big Guava
    The Big Guava is a popular nickname for Tampa, Florida, highlighting the city's historical ties to the guava fruit and its playful echo of New York's "Big Apple" moniker.
  • D. The Angler
    "The Angler" is a short story by Washington Irving that reflects his nostalgic, gently humorous style and interest in English rural life.
  • E. Bluewater
    Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
  • 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: The Big Tuna
Triple: [Bill Parcells, nickname, The Big Tuna]
Generated description
The Big Tuna is the famous nickname of Bill Parcells, a Hall of Fame NFL head coach known for turning struggling teams into contenders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Big Tuna
Target entity description: The Big Tuna is the famous nickname of Bill Parcells, a Hall of Fame NFL head coach known for turning struggling teams into contenders.
  • A. Billy the Marlin
    Billy the Marlin is the colorful, anthropomorphic marlin who serves as the energetic official mascot of Major League Baseball’s Miami Marlins.
  • B. Tiburon
    Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
  • C. The Big Guava
    The Big Guava is a popular nickname for Tampa, Florida, highlighting the city's historical ties to the guava fruit and its playful echo of New York's "Big Apple" moniker.
  • D. The Angler
    "The Angler" is a short story by Washington Irving that reflects his nostalgic, gently humorous style and interest in English rural life.
  • E. Bluewater
    Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebad8bf08190b4a38ffd9157d641 completed Feb. 28, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e017c4488190a22038baada78a3a completed March 1, 2026, 6:43 a.m.
NEDg Description generation batch_69a3e0941aa0819085168a7b436b875c completed March 1, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69a3e1d0ce5c819097f415f6d00448a2 completed March 1, 2026, 6:50 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.