Triple
T683733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elena Delle Donne |
E13236
|
entity |
| Predicate | WNBAMostValuablePlayerAward |
P16058
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Elena Delle Donne, WNBAMostValuablePlayerAward, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WNBAMostValuablePlayerAward Context triple: [Elena Delle Donne, WNBAMostValuablePlayerAward, 2015]
-
A.
NBAMostValuablePlayerAward
Indicates that an entity has received the NBA Most Valuable Player (MVP) award for a particular season.
-
B.
wonWNBAChampionship
Indicates that an entity has achieved victory in the WNBA Finals and secured a WNBA championship title.
-
C.
NBAAllStarGameMVPawards
Indicates that the subject has received one or more NBA All-Star Game Most Valuable Player (MVP) awards.
-
D.
mostValuablePlayerAward
chosen
Indicates that an entity has received a "Most Valuable Player" award recognizing it as the most outstanding performer in a particular context or competition.
-
E.
NBAFinalsMVP
Indicates that the person was awarded the Most Valuable Player (MVP) honor for their performance in an NBA Finals series.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a070d4c08190a510a8f9c1ae8076 |
completed | March 1, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69a49d1f0ccc819088c1527beabcb718 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.