Triple
T3527632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XII |
E74578
|
entity |
| Predicate | referee |
P268
|
FINISHED |
| Object | Jim Tunney |
E160105
|
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: Jim Tunney | Statement: [Super Bowl XII, referee, Jim Tunney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Tunney Context triple: [Super Bowl XII, referee, Jim Tunney]
-
A.
Jim Tunney
chosen
Jim Tunney is a former NFL official renowned as one of the league’s most respected referees, often called the “Dean of NFL Referees.”
-
B.
Joe Torry
Joe Torry is an American actor and comedian best known for his roles in 1990s films and television, including a notable performance in the romantic drama "Poetic Justice."
-
C.
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.
-
D.
Bill Nunn
Bill Nunn was an American character actor best known for his memorable supporting roles in films like "Do the Right Thing" and the "Spider-Man" trilogy.
-
E.
Tom Luddy
Tom Luddy was an American film producer, curator, and influential cinephile best known as a co-founder and long-time guiding force of the Telluride Film Festival.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6d099c8190b2b1e65a56e52089 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48823ca248190a34d2d0eb3a496a7 |
completed | March 13, 2026, 9:56 p.m. |
Created at: March 8, 2026, 3:19 p.m.