Triple
T1754619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bentley |
E38523
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object |
Bentley Blower
The Bentley Blower is a famous late-1920s British racing car, distinguished by its supercharged engine and prominent role in pre-war motorsport and Bentley’s racing heritage.
|
E196130
|
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: Bentley Blower | Statement: [Bentley, hasModel, Bentley Blower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bentley Blower Context triple: [Bentley, hasModel, Bentley Blower]
-
A.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
B.
Airco
Airco was a British aircraft manufacturer best known for producing military aircraft during World War I, including the successful DH series of biplanes.
-
C.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
D.
Turbostar
Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
-
E.
Ramport Aero
Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
- 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: Bentley Blower Triple: [Bentley, hasModel, Bentley Blower]
Generated description
The Bentley Blower is a famous late-1920s British racing car, distinguished by its supercharged engine and prominent role in pre-war motorsport and Bentley’s racing heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bentley Blower Target entity description: The Bentley Blower is a famous late-1920s British racing car, distinguished by its supercharged engine and prominent role in pre-war motorsport and Bentley’s racing heritage.
-
A.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
B.
Airco
Airco was a British aircraft manufacturer best known for producing military aircraft during World War I, including the successful DH series of biplanes.
-
C.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
D.
Turbostar
Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
-
E.
Ramport Aero
Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa641841748190ad05cac4a27cced9 |
completed | March 6, 2026, 5:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0e84c1c8190917edf14003cba81 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1a401548190af00bae3b89e46b0 |
completed | March 8, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada26804288190838a93b71b494650 |
completed | March 8, 2026, 4:23 p.m. |
Created at: March 4, 2026, 7:31 p.m.