Triple
T33145371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aston Martin DB series |
E848275
|
entity |
| Predicate | firstBondCarModel |
P206366
|
FINISHED |
| Object | Aston Martin DB5 |
E101249
|
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: Aston Martin DB5 | Statement: [Aston Martin DB series, firstBondCarModel, Aston Martin DB5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBondCarModel Context triple: [Aston Martin DB series, firstBondCarModel, Aston Martin DB5]
-
A.
firstModel
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
-
B.
firstModelLineOf
Indicates that one entity is the first line of a model or modeling construct associated with another entity.
-
C.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
D.
firstModelIntroduced
Indicates that one entity is the earliest or original model introduced in relation to another entity or context.
-
E.
firstAllElectricModelOfBrand
Indicates that the subject is the first fully electric vehicle model produced by the specified brand.
- 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_69f3495a458c8190a1d34b237ba0be3f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3525ba72648190a421b2340b4442ad |
completed | June 19, 2026, 11:19 a.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:28 a.m.