Triple
T16279161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chick Hicks |
E395217
|
entity |
| Predicate | roleInCars3DrivenToWin |
P59905
|
FINISHED |
| Object | commentator for events |
—
|
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: commentator for events | Statement: [Chick Hicks, roleInCars3DrivenToWin, commentator for events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCars3DrivenToWin Context triple: [Chick Hicks, roleInCars3DrivenToWin, commentator for events]
-
A.
carCultureRole
Indicates the role or function an entity has within car culture, such as how it contributes to or is perceived in automotive-related communities, practices, or values.
-
B.
motorsportHomologationRole
Indicates the specific role or function an entity has within the homologation (official approval and certification) process in motorsport.
-
C.
featuresDrivers
Indicates that something includes or highlights specific drivers as notable components or participants.
-
D.
motorsportRole
chosen
Indicates the specific function or position an entity holds within the context of motorsport activities or events.
-
E.
powerToWeightRole
Indicates a role or function defined by the relationship between an entity’s power output and its weight (power-to-weight ratio).
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24610908c8190921e507dcb4d8250 |
completed | April 17, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:05 a.m.