Triple
T5105171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonquel Jones |
E115073
|
entity |
| Predicate | WNBAMostImprovedPlayerAward |
P61147
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Jonquel Jones, WNBAMostImprovedPlayerAward, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WNBAMostImprovedPlayerAward Context triple: [Jonquel Jones, WNBAMostImprovedPlayerAward, 2017]
-
A.
WNBADefensivePlayerOfTheYear
Indicates that an entity has been recognized as the WNBA Defensive Player of the Year for a given season or time period.
-
B.
NBAMostImprovedPlayerAward
Indicates that an entity has received the NBA Most Improved Player Award, recognizing the player judged to have shown the greatest improvement from the previous season.
-
C.
NBAMostValuablePlayerAward
Indicates that an entity has received the NBA Most Valuable Player (MVP) award for a particular season.
-
D.
WNBARookieOfTheYear
Indicates that the subject was selected as the WNBA Rookie of the Year for a given season.
-
E.
WNBARegularSeasonMVP
Indicates that an entity has been awarded the WNBA Most Valuable Player honor for performance during a regular season.
- F. None of above. chosen
Provenance (4 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7589e40c8190a46e4a1b7142be14 |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd738ac2e0819099c06cdcc5e21d28 |
completed | March 20, 2026, 4:19 p.m. |
Created at: March 20, 2026, 1:41 p.m.