Triple
T31022741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016–17 Pac-12 season |
E790491
|
entity |
| Predicate | freshmanOfTheYear |
P52616
|
FINISHED |
| Object | Lonzo Ball |
—
|
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: Lonzo Ball | Statement: [2016–17 Pac-12 season, freshmanOfTheYear, Lonzo Ball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: freshmanOfTheYear Context triple: [2016–17 Pac-12 season, freshmanOfTheYear, Lonzo Ball]
-
A.
Pac12FreshmanOfTheYear
chosen
Indicates that an individual was selected as the Pac-12 Conference’s Freshman of the Year in their sport for a given season.
-
B.
firstYear
Indicates that an entity is in its first year of existence, operation, or participation within a specified context.
-
C.
collegeAwardYear
Indicates the year in which a college-level award was granted or conferred.
-
D.
collegeChampionWith
Indicates that one entity is the champion of a college-level competition or title in association with another specified entity.
-
E.
typicalFirstYearName
Indicates that a given name is commonly or characteristically used for individuals in their first year (e.g., of school, university, or a program).
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:58 p.m.