Triple
T1775865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn State Nittany Lions football |
E38976
|
entity |
| Predicate | JoePaternoRole |
P32281
|
FINISHED |
| Object | longtime head coach |
—
|
LITERAL 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: longtime head coach | Statement: [Penn State Nittany Lions football, JoePaternoRole, longtime head coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JoePaternoRole Context triple: [Penn State Nittany Lions football, JoePaternoRole, longtime head coach]
-
A.
NFLCoach
Indicates that one entity serves as the head coach (or coach) of an NFL team associated with the other entity.
-
B.
CaliforniaHeadCoach
Indicates that one entity serves as the head coach of a sports team or program based in California.
-
C.
athleticDirector
Indicates that one entity serves as the athletic director (the person in charge of overseeing athletic programs) for another entity, such as a school or organization.
-
D.
StanfordHeadCoach
Indicates that one entity serves as the head coach of a Stanford University athletic team associated with the other entity.
-
E.
NFLTeamCoached
Indicates that a person has served as a coach for a specific NFL team.
- F. None of above. chosen
Provenance (4 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab74db3dbc8190ab256a4e158062b8 |
completed | March 7, 2026, 12:44 a.m. |
Created at: March 4, 2026, 7:31 p.m.