Triple
T19997520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonquel Jones |
E494232
|
entity |
| Predicate | threePointShooter |
P138282
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Jonquel Jones, threePointShooter, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threePointShooter Context triple: [Jonquel Jones, threePointShooter, yes]
-
A.
threePointShooterReputation
Indicates that an entity is regarded as having notable skill or effectiveness in making three-point shots.
-
B.
threePointPercentageLeader
Indicates that the subject holds the highest three-point field goal percentage within a specified group or competition.
-
C.
threePointPercentageMinimum
Indicates that an entity’s three-point shooting percentage meets or exceeds a specified minimum threshold.
-
D.
shootingGuard
Indicates that an entity plays the role or performs the function of a shooting guard in a basketball context.
-
E.
MVPThreePointersAttempted
Indicates the number of three-point shots attempted by the MVP in a given context or period.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe6827481909469129feb9aad91 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:32 p.m.