Triple
T1125713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl II |
E24714
|
entity |
| Predicate | mostValuablePlayer |
P2630
|
FINISHED |
| Object | Bart Starr |
E53002
|
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: Bart Starr | Statement: [Super Bowl II, mostValuablePlayer, Bart Starr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bart Starr Context triple: [Super Bowl II, mostValuablePlayer, Bart Starr]
-
A.
Bart Starr
chosen
Bart Starr was a Hall of Fame NFL quarterback and legendary leader of the Green Bay Packers who guided the team to multiple championships in the 1960s.
-
B.
Bob Griese
Bob Griese is a Hall of Fame former NFL quarterback for the Miami Dolphins who later became a prominent football television analyst.
-
C.
Hank Stram
Hank Stram was an American football coach best known for leading the Kansas City Chiefs to early AFL success and victory in Super Bowl IV.
-
D.
Len Dawson
Len Dawson was an American Hall of Fame quarterback best known for leading the Kansas City Chiefs to victory in Super Bowl IV and later working as a prominent football broadcaster.
-
E.
Jack Ham
Jack Ham is a Pro Football Hall of Fame linebacker renowned for his key role in the Pittsburgh Steelers' dominant defenses of the 1970s.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbdaf2d4819086f480f69da127f9 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93b2283881908dde77abbbf864ae |
completed | March 7, 2026, 9:08 p.m. |
Created at: March 1, 2026, 7:44 p.m.