Triple
T20403361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Francis Dennis Barry III |
E500395
|
entity |
| Predicate | usesShootingStyle |
P17665
|
FINISHED |
| Object | underhand free throw |
—
|
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: underhand free throw | Statement: [Richard Francis Dennis Barry III, usesShootingStyle, underhand free throw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesShootingStyle Context triple: [Richard Francis Dennis Barry III, usesShootingStyle, underhand free throw]
-
A.
shootingStyle
chosen
Indicates the characteristic manner or technique with which an entity performs a shooting action (e.g., in sports or photography).
-
B.
hasShootingPosition
Indicates that an entity has a designated location or spot from which shooting (e.g., firing a weapon or taking a shot) is performed.
-
C.
shotType
Indicates the specific kind or category of shot used or taken in a given context (e.g., in film, photography, or sports).
-
D.
tacticalStyle
Indicates the characteristic way in which an entity plans and executes actions or maneuvers to achieve its objectives.
-
E.
shotBy
Indicates that one entity fired a projectile or weapon that hit and wounded or killed another entity.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799080cc819096dc31f41d1d7b49 |
completed | April 20, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.