Triple
T1208908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Foles |
E25952
|
entity |
| Predicate | highSchoolSport |
P1080
|
FINISHED |
| Object | American football |
—
|
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: American football | Statement: [Nick Foles, highSchoolSport, American football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSchoolSport Context triple: [Nick Foles, highSchoolSport, American football]
-
A.
studentAthletes
Indicates a relationship where the entities are athletes who are also enrolled as students, combining academic and athletic roles.
-
B.
highSchoolTeam
Indicates that one entity is a sports team (or similar organized group) that represents or is affiliated with a particular high school.
-
C.
NCAASport
Indicates that an entity is a sport that is officially sanctioned or governed by the NCAA (National Collegiate Athletic Association).
-
D.
primarySport
chosen
Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily involved.
-
E.
athleticReputation
Indicates the recognized level or quality of someone's performance, skill, or standing in athletic or sports-related activities.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bde30ce08190ab60a181ad2d321d |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6078088190ba0221ae3368416c |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.