Triple
T34850490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayo Dosunmu |
E1004586
|
entity |
| Predicate | collegeHonorSeason |
P94922
|
FINISHED |
| Object | 2020–21 |
—
|
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: 2020–21 | Statement: [Ayo Dosunmu, collegeHonorSeason, 2020–21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeHonorSeason Context triple: [Ayo Dosunmu, collegeHonorSeason, 2020–21]
-
A.
collegeSeason
Indicates that an event, activity, or status occurs during a specific college sports or academic season.
-
B.
collegeSeasonHonor
chosen
Indicates that an entity received a specific honor or award during a particular college sports season.
-
C.
collegeHonors
Indicates that an individual has received formal academic honors or distinctions from a college.
-
D.
collegeHonorCount_SECPlayerOfTheYear
Indicates the number of times an individual has received the SEC Player of the Year honor in college.
-
E.
collegeChampionWith
Indicates that one entity is the champion of a college-level competition or title in association with another specified entity.
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: May 3, 2026, 4 p.m.