Triple
T9223028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bentley Eight |
E221608
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Bentley |
E38523
|
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: Bentley | Statement: [Bentley Eight, brand, Bentley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bentley Context triple: [Bentley Eight, brand, 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 surname of English origin borne by various notable individuals across fields such as entertainment, sports, and academia.
-
D.
Bentley
chosen
Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
-
E.
Aston Martin
Aston Martin is a British luxury sports car manufacturer renowned for its high-performance grand tourers and long association with the James Bond film franchise.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda7903208190b4e29a1591aab78a |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0779de5a88190b6a9266c976e05b1 |
completed | April 4, 2026, 2:29 a.m. |
Created at: March 30, 2026, 7:28 p.m.