Triple

T678663
Position Surface form Disambiguated ID Type / Status
Subject Super Bowl XXI E13132 entity
Predicate referee P268 FINISHED
Object Jim Tunney
Jim Tunney is a former NFL official renowned as one of the league’s most respected referees, often called the “Dean of NFL Referees.”
 E160105 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: Jim Tunney | Statement: [Super Bowl XXI, referee, Jim Tunney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jim Tunney
Context triple: [Super Bowl XXI, referee, Jim Tunney]
  • A. Tom Tucker
    Tom Tucker is a fictional, mustachioed news anchor on the animated television series "Family Guy," known for his eccentric on-air persona and deadpan delivery.
  • B. Ted Cheesman
    Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
  • C. Bill Vinovich
    Bill Vinovich is an American NFL official best known for serving as the head referee in multiple Super Bowls, including Super Bowl XLIX.
  • D. Jack Cunningham
    Jack Cunningham was an American screenwriter active during the silent and early sound film eras, known for scripting numerous adventure and Western films.
  • E. Tom Lofaro
    Tom Lofaro is a television producer best known for his executive production work on the long-running comedy series "It's Always Sunny in Philadelphia."
  • 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: Jim Tunney
Triple: [Super Bowl XXI, referee, Jim Tunney]
Generated description
Jim Tunney is a former NFL official renowned as one of the league’s most respected referees, often called the “Dean of NFL Referees.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jim Tunney
Target entity description: Jim Tunney is a former NFL official renowned as one of the league’s most respected referees, often called the “Dean of NFL Referees.”
  • A. Tom Tucker
    Tom Tucker is a fictional, mustachioed news anchor on the animated television series "Family Guy," known for his eccentric on-air persona and deadpan delivery.
  • B. Ted Cheesman
    Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
  • C. Bill Vinovich
    Bill Vinovich is an American NFL official best known for serving as the head referee in multiple Super Bowls, including Super Bowl XLIX.
  • D. Jack Cunningham
    Jack Cunningham was an American screenwriter active during the silent and early sound film eras, known for scripting numerous adventure and Western films.
  • E. Tom Lofaro
    Tom Lofaro is a television producer best known for his executive production work on the long-running comedy series "It's Always Sunny in Philadelphia."
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04e17088190943d54977eb3f83a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69acddf440848190aa5019ffcedd4859 completed March 8, 2026, 2:24 a.m.
NEDg Description generation batch_69acdefbfb108190a88d56c4e9f9e6b3 completed March 8, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_69acdfeb4ca481909347f98cf78cf6a0 completed March 8, 2026, 2:33 a.m.
Created at: March 1, 2026, 7:36 p.m.