Triple
T8305977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hearst Autos |
E194463
|
entity |
| Predicate | operatesWebsite |
P5884
|
FINISHED |
| Object | caranddriver.com |
E194451
|
NE 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: caranddriver.com | Statement: [Hearst Autos, operatesWebsite, caranddriver.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: caranddriver.com Context triple: [Hearst Autos, operatesWebsite, caranddriver.com]
-
A.
Car and Driver
chosen
Car and Driver is a leading American automotive enthusiast magazine and media brand known for its in-depth car reviews, comparison tests, and industry news.
-
B.
mintDrivers
mintDrivers is a Linux Mint tool for managing and installing proprietary and open-source hardware drivers on the system.
-
C.
The Driver
The Driver is the laconic, unnamed street racer portrayed by James Taylor in the 1971 cult road movie "Two-Lane Blacktop."
-
D.
Driver and Vehicle Services
Driver and Vehicle Services is a division of Pennsylvania’s state transportation agency responsible for licensing drivers, registering vehicles, and maintaining related records and services.
-
E.
inDriver
inDriver is a global ride-hailing and mobility platform that lets passengers and drivers negotiate fares directly in real time.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f293db08190912e5e8bb7e940cf |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd955100448190862fd52d660585fd |
completed | April 1, 2026, 9:59 p.m. |
Created at: March 30, 2026, 5:54 p.m.