Triple
T900349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Maddon |
E19431
|
entity |
| Predicate | collegeSportPlayed |
P16965
|
FINISHED |
| Object | baseball |
—
|
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: baseball | Statement: [Joe Maddon, collegeSportPlayed, baseball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeSportPlayed Context triple: [Joe Maddon, collegeSportPlayed, baseball]
-
A.
playedCollegeTeam
Indicates that an athlete was a member of and competed for a particular college sports team.
-
B.
positionPlayedInCollege
Indicates the specific playing position an individual held on a sports team during their college career.
-
C.
studentAthletes
Indicates a relationship where the entities are athletes who are also enrolled as students, combining academic and athletic roles.
-
D.
NCAASport
chosen
Indicates that an entity is a sport that is officially sanctioned or governed by the NCAA (National Collegiate Athletic Association).
-
E.
playedCollegeBasketballFor
Indicates that a person was a member of and competed for a specific college or university’s basketball team.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad42ecac81909f8bc554d2fe0363 |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa979d408190b17ccfde132ea628 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.