Triple
T18453454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haymarket Media Group |
E450843
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Autocar
Autocar is a long-running British automotive magazine known for its car reviews, industry news, and road tests.
|
E1325865
|
NE FINISHED |
How this triple was built (4 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: Autocar | Statement: [Haymarket Media Group, notableWork, Autocar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autocar Context triple: [Haymarket Media Group, notableWork, Autocar]
-
A.
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.
-
B.
Autoweek
Autoweek is an American automotive magazine and media brand known for its coverage of car culture, motorsports, and industry news.
-
C.
Car Magazine
Car Magazine is a long-running British automotive publication known for its in-depth car reviews, industry news, and influential motoring journalism.
-
D.
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.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Autocar Triple: [Haymarket Media Group, notableWork, Autocar]
Generated description
Autocar is a long-running British automotive magazine known for its car reviews, industry news, and road tests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Autocar Target entity description: Autocar is a long-running British automotive magazine known for its car reviews, industry news, and road tests.
-
A.
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.
-
B.
Autoweek
Autoweek is an American automotive magazine and media brand known for its coverage of car culture, motorsports, and industry news.
-
C.
Car Magazine
Car Magazine is a long-running British automotive publication known for its in-depth car reviews, industry news, and influential motoring journalism.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264a49ec8190aa43381d93a55e91 |
completed | April 19, 2026, 7 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fe5eb1081909ecdf53f4b6b9370 |
completed | May 13, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_6a043a81cd58819089df50804870952e |
completed | May 13, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a043c0580048190afd9fe46e6863918 |
completed | May 13, 2026, 8:53 a.m. |
Created at: April 10, 2026, 11:31 a.m.