Triple
T3146308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 WNBA season |
E65771
|
entity |
| Predicate | ElenaDelleDonneSeasonReboundsPerGame |
P22437
|
FINISHED |
| Object | 8.2 |
—
|
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: 8.2 | Statement: [2019 WNBA season, ElenaDelleDonneSeasonReboundsPerGame, 8.2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ElenaDelleDonneSeasonReboundsPerGame Context triple: [2019 WNBA season, ElenaDelleDonneSeasonReboundsPerGame, 8.2]
-
A.
WNBARegularSeasonMVP
Indicates that an entity has been awarded the WNBA Most Valuable Player honor for performance during a regular season.
-
B.
WNBAAllStarGameMVPInYear
Indicates that an entity was selected as the Most Valuable Player of the WNBA All-Star Game in a specified year.
-
C.
WNBAretirementSeason
Indicates the specific WNBA season in which a player officially retires from professional play.
-
D.
statRebounds
chosen
Indicates the number of rebounds an entity (typically a player or team) records in a game or over a specified period.
-
E.
numberOfWNBAAllStarSelections
Indicates the count of times an individual has been selected to participate in the WNBA All-Star Game.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada598ccf08190b8817c456f38f2d7 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.