Triple
T1087552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonny Jurgensen |
E24085
|
entity |
| Predicate | batsOrThrowsInCollege |
P24095
|
FINISHED |
| Object | also played baseball at Duke University |
—
|
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: also played baseball at Duke University | Statement: [Sonny Jurgensen, batsOrThrowsInCollege, also played baseball at Duke University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batsOrThrowsInCollege Context triple: [Sonny Jurgensen, batsOrThrowsInCollege, also played baseball at Duke University]
-
A.
usesBatAndBall
Indicates that the action or activity involves the use of both a bat and a ball together.
-
B.
winnerBats
Indicates that the entity identified as the winner performs the action of batting.
-
C.
playedCollegeTeam
Indicates that an athlete was a member of and competed for a particular college sports team.
-
D.
bats
Indicates that one entity hits or strikes another entity, typically using a bat or similar implement.
-
E.
conferencePlayedInCollege
Indicates that a person participated in collegiate athletics within a specific athletic conference.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7407914819092ed933a7316b450 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b8f1097881908932d7eea4331917 |
completed | March 1, 2026, 10:08 p.m. |
Created at: March 1, 2026, 7:42 p.m.