Triple
T7855114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Kapp |
E182155
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joe Kapp |
E182155
|
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: Joe Kapp | Statement: [Joe Kapp, name, Joe Kapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Kapp Context triple: [Joe Kapp, name, Joe Kapp]
-
A.
Joe Kapp
chosen
Joe Kapp was a tough, hard-nosed former NFL and CFL quarterback who became a memorable college coach and is best known for leading the Minnesota Vikings to Super Bowl IV and for his fiery, physical style of play.
-
B.
Bart Starr
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.
-
C.
Fran Tarkenton
Fran Tarkenton is a Hall of Fame NFL quarterback best known for his scrambling style and record-setting career primarily with the Minnesota Vikings.
-
D.
Bob Griese
Bob Griese is a Hall of Fame former NFL quarterback for the Miami Dolphins who later became a prominent football television analyst.
-
E.
Dan Fouts
Dan Fouts is a Hall of Fame NFL quarterback best known for leading the high-powered "Air Coryell" offense of the San Diego Chargers in the late 1970s and early 1980s.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a74592c8190b42f298e3e33617b |
completed | March 31, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b27e9b081909a0574458ddf43b0 |
completed | March 31, 2026, 5:27 a.m. |
Created at: March 30, 2026, 4:51 p.m.