Triple
T4554947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verizon Media |
E120457
|
entity |
| Predicate | ownedBrand |
P1500
|
FINISHED |
| Object | Autoblog |
E66258
|
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: Autoblog | Statement: [Verizon Media, ownedBrand, Autoblog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autoblog Context triple: [Verizon Media, ownedBrand, Autoblog]
-
A.
Autoblog
chosen
Autoblog is an automotive news and review website known for its coverage of car industry news, vehicle reviews, and consumer car-buying information.
-
B.
Motor Trend
Motor Trend is an American automotive magazine and media brand known for its influential car reviews, comparison tests, and annual Car of the Year awards.
-
C.
AUTO
AUTO is the autopilot robot aboard the starliner Axiom in Pixar's film "WALL-E," serving as the primary antagonist enforcing the ship's directive to never return to Earth.
-
D.
Hearst Autos
Hearst Autos is the automotive-focused division of Hearst Communications that produces car-related media, reviews, and digital content for consumers and industry professionals.
-
E.
Car and Driver
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.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd5813af948190b10b02dadf6496bf |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc57d59f88190857cbda79caf3c38 |
completed | March 20, 2026, 10:09 p.m. |
Created at: March 20, 2026, 1:09 p.m.