Triple
T29018638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Young |
E737386
|
entity |
| Predicate | servedMarque |
P69937
|
FINISHED |
| Object | Bentley |
—
|
NE NERFINISHED |
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: Bentley | Statement: [James Young, servedMarque, Bentley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedMarque Context triple: [James Young, servedMarque, Bentley]
-
A.
vehiclesRebadgedAs
Indicates that one vehicle model has been marketed or sold under a different brand or nameplate while remaining essentially the same underlying product.
-
B.
servedByService
Indicates that something is provided, handled, or fulfilled by a particular service.
-
C.
droveManufacturer
Indicates that a person or agent operated or used a vehicle produced by a specific manufacturer.
-
D.
usedBrandOf
chosen
Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
-
E.
hasPassengerServiceBrand
Indicates that a passenger transport service operates under or is associated with a specific commercial brand or service name.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: April 28, 2026, 9:47 a.m.