Triple

T2348635
Position Surface form Disambiguated ID Type / Status
Subject Bill Parcells E45192 entity
Predicate nickname P55 FINISHED
Object The Big Tuna E45192 NE FINISHED

How this triple was built (2 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. The Big Tuna chosen
    The Big Tuna is the famous nickname of Bill Parcells, a Hall of Fame NFL head coach known for turning struggling teams into contenders.
  • B. El Gran Pez
    El Gran Pez is the popular nickname of the Mexican football club Dorados de Sinaloa, reflecting its identity and local cultural ties.
  • C. The Bass
    The Bass is a contemporary art museum in Miami Beach, Florida, known for its exhibitions of international modern and contemporary art.
  • D. 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.
  • E. El Pescadito
    El Pescadito is the nickname of Guatemalan former professional footballer Carlos Ruiz, a prolific striker best known for his goal-scoring exploits with the Guatemala national team and in Major League Soccer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6cc90d08190824a90e190d1b017 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea884ac4c8190b484db995251c136 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:52 p.m.