Triple
T27880579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabari Parker |
E705074
|
entity |
| Predicate | notableHighSchoolHonor |
P138835
|
FINISHED |
| Object | 2013 Gatorade National Player of the Year |
—
|
NE NERFINISHED |
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: 2013 Gatorade National Player of the Year | Statement: [Jabari Parker, notableHighSchoolHonor, 2013 Gatorade National Player of the Year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableHighSchoolHonor Context triple: [Jabari Parker, notableHighSchoolHonor, 2013 Gatorade National Player of the Year]
-
A.
honorsSchool
Indicates that a school has received recognition, distinction, or special status for high achievement or excellence.
-
B.
highSchoolAllAmerican
chosen
Indicates that a person was selected as a high school All-American, recognizing them as one of the top high school athletes in their sport at the national level.
-
C.
notableAwardOrHonor
Indicates that an entity has received a specific notable award or honor.
-
D.
collegeHonors
Indicates that an individual has received formal academic honors or distinctions from a college.
-
E.
hasNotableHighSchool
Indicates that an entity is associated with a high school that is particularly notable or significant in some recognized way.
- 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_6a004c41f13c8190bc47daf6a5ca3949 |
completed | May 10, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_6a004bce3e3081909b35ae5b3bf2b35e |
completed | May 10, 2026, 9:11 a.m. |
Created at: April 27, 2026, 6:29 p.m.