Triple
T22763712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziff-Davis Publishing Company |
E563061
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Car and Driver |
—
|
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: Car and Driver | Statement: [Ziff-Davis Publishing Company, notableWork, Car and Driver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Car and Driver Context triple: [Ziff-Davis Publishing Company, notableWork, Car and Driver]
-
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.
Autocar
Autocar is a long-running British automotive magazine known for its car reviews, industry news, and road tests.
-
C.
What Car? magazine
What Car? magazine is a long-running British automotive publication known for its in-depth car reviews, consumer advice, and influential annual awards.
-
D.
Road & Track
Road & Track is an American automotive enthusiast magazine known for its in-depth coverage of performance cars, motorsports, and automotive culture.
-
E.
Z Cars
Z Cars is a pioneering British television police drama series that aired in the 1960s and 1970s, known for its gritty, realistic portrayal of everyday policing in the fictional town of Newtown.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7dd9348190ba7c74362ad30b1e |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.