Triple
T13623870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Williams |
E325526
|
entity |
| Predicate | formerCollegeAthlete |
P27011
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Patrick Williams, formerCollegeAthlete, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerCollegeAthlete Context triple: [Patrick Williams, formerCollegeAthlete, true]
-
A.
collegeAthleteIn
Indicates that an individual is an athlete who competes for or represents a particular college or university.
-
B.
formerCollege
Indicates that one entity previously attended or was enrolled at the other entity as a college, but no longer is.
-
C.
playedCollegeSport
chosen
Indicates that the subject participated in an organized college-level sport for the object institution.
-
D.
studentAthletes
Indicates a relationship where the entities are athletes who are also enrolled as students, combining academic and athletic roles.
-
E.
formerAthlete
Indicates that a person previously had the role or status of an athlete but no longer does.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:50 p.m.