Triple
T405530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Maynard |
E9374
|
entity |
| Predicate | teammateOf |
P2649
|
FINISHED |
| Object | Joe Namath |
E14142
|
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 Namath | Statement: [Don Maynard, teammateOf, Joe Namath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Namath Context triple: [Don Maynard, teammateOf, Joe Namath]
-
A.
Joe Namath
chosen
Joe Namath is a Hall of Fame American football quarterback best known for his guarantee and victory in Super Bowl III with the New York Jets, which helped legitimize the AFL.
-
B.
Phil Simms
Phil Simms is a former NFL quarterback best known for leading the New York Giants to two Super Bowl titles and earning MVP honors in Super Bowl XXI.
-
C.
Bob Griese
Bob Griese is a Hall of Fame former NFL quarterback for the Miami Dolphins who later became a prominent football television analyst.
-
D.
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.
-
E.
Dan Marino
Dan Marino is a Hall of Fame former NFL quarterback renowned for his prolific passing career with the Miami Dolphins and for setting numerous league records.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca37fe881909802126952dfdd59 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4429ec70c8190aaff2e0e6af82612 |
completed | March 1, 2026, 1:43 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.