Triple
T31429835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Cowboys 1990s Super Bowl dynasty |
E801764
|
entity |
| Predicate | keyFullback |
P126826
|
FINISHED |
| Object | Daryl Johnston |
—
|
NE NERFINISHED |
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: Daryl Johnston | Statement: [Dallas Cowboys 1990s Super Bowl dynasty, keyFullback, Daryl Johnston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyFullback Context triple: [Dallas Cowboys 1990s Super Bowl dynasty, keyFullback, Daryl Johnston]
-
A.
isKeyPlayerFor
chosen
Indicates that an entity plays a crucial or central role in the success, functioning, or performance of another entity (such as a team, project, or organization).
-
B.
sharedBackfieldWith
Indicates that two players were part of the same offensive backfield unit on a team during overlapping time periods.
-
C.
runnerUpKeyPlayer
Indicates that an entity is a key player who finished as the runner-up in a competition or ranking.
-
D.
middleLinebacker
Indicates that one entity serves in the role of middle linebacker in relation to a football team, formation, or defensive alignment.
-
E.
commonSpecialTeamsRole
Indicates that two entities share the same role or function on special teams within a sports context.
- F. None of above.
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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 8:56 p.m.