Triple
T19680971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pininfarina |
E472583
|
entity |
| Predicate | designedFor |
P98
|
FINISHED |
| Object |
Bentley
Bentley is a British luxury automobile manufacturer renowned for its handcrafted high-performance grand tourers and limousines.
|
E38523
|
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 | Statement: [Pininfarina, designedFor, Bentley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bentley Context triple: [Pininfarina, designedFor, Bentley]
-
A.
Bentley
Bentley is a small village and civil parish in Suffolk, England, known for its rural character and traditional English countryside setting.
-
B.
Bentley
Bentley is a small rural village and civil parish in East Hampshire, England, known for its countryside setting and traditional English character.
-
C.
Bentley
Bentley is a residential and industrial area within the Metropolitan Borough of Walsall in the West Midlands, England.
-
D.
Bentley
Bentley is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and academia.
-
E.
Bentley
Bentley is a former coal mining town in South Yorkshire, England, historically associated with the Yorkshire coalfield.
- 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 Triple: [Pininfarina, designedFor, Bentley]
Generated description
Bentley is a British luxury automobile manufacturer renowned for its handcrafted high-performance grand tourers and limousines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bentley Target entity description: Bentley is a British luxury automobile manufacturer renowned for its handcrafted high-performance grand tourers and limousines.
-
A.
Bentley
chosen
Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
-
B.
Bentley
Bentley is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and academia.
-
C.
Bentley
Bentley is a small rural village and civil parish in East Hampshire, England, known for its countryside setting and traditional English character.
-
D.
Bentley
Bentley is a small village and civil parish in Suffolk, England, known for its rural character and traditional English countryside setting.
-
E.
Bentley
Bentley is a residential and industrial area within the Metropolitan Borough of Walsall in the West Midlands, England.
- F. None of above.
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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bf97348190bc31b00ed4ec6cad |
completed | April 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0787c6bd708190a3693bd3925ac20f |
completed | May 15, 2026, 8:53 p.m. |
| NEDg | Description generation | batch_6a07936634a08190a5e90b42f0b34b23 |
completed | May 15, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0793efdfc08190a2ef81a86ca698c2 |
completed | May 15, 2026, 9:45 p.m. |
Created at: April 10, 2026, 1:45 p.m.