Triple
T5105168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonquel Jones |
E115073
|
entity |
| Predicate | WNBAReboundingLeader |
P61146
|
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, WNBAReboundingLeader, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WNBAReboundingLeader Context triple: [Jonquel Jones, WNBAReboundingLeader, 2017]
-
A.
WNBARegularSeasonMVP
Indicates that an entity has been awarded the WNBA Most Valuable Player honor for performance during a regular season.
-
B.
WNBAFinalsMVP
Indicates that the subject was selected as the Most Valuable Player of the WNBA Finals series.
-
C.
WNBAAllStarGameMVPInYear
Indicates that an entity was selected as the Most Valuable Player of the WNBA All-Star Game in a specified year.
-
D.
WNBAAllTimeScoringLeader
Indicates that the subject is recognized as the player with the highest total points scored in WNBA history.
-
E.
WNBAAllWNBAFirstTeamSelection
Indicates that an individual has been chosen for the WNBA All-WNBA First Team in a given season, recognizing them as one of the league’s top players at their position.
- 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.