Triple
T4745263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl LIV |
E105346
|
entity |
| Predicate | referee |
P268
|
FINISHED |
| Object | Bill Vinovich |
E49709
|
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: Bill Vinovich | Statement: [Super Bowl LIV, referee, Bill Vinovich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Vinovich Context triple: [Super Bowl LIV, referee, Bill Vinovich]
-
A.
Bill Vinovich
chosen
Bill Vinovich is an American NFL official best known for serving as the head referee in multiple Super Bowls, including Super Bowl XLIX.
-
B.
Vic Bubas
Vic Bubas was a prominent American college basketball coach best known for transforming Duke University into a national powerhouse in the 1960s.
-
C.
Turk Farrell
Turk Farrell was an American Major League Baseball pitcher known for his effective relief work and All-Star performances during the 1950s and 1960s.
-
D.
Ray Nitschke
Ray Nitschke was a legendary middle linebacker for the Green Bay Packers, renowned for his hard-hitting play and key role in Vince Lombardi’s championship teams.
-
E.
Ray Ferraro
Ray Ferraro is a former Canadian professional ice hockey player and prominent NHL broadcaster known for his long playing career and work as a television analyst.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64ab946481909eccdb3e8c5d1f6a |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a37a77881909d32027f1ada99c5 |
completed | March 21, 2026, 6:27 a.m. |
Created at: March 20, 2026, 1:20 p.m.