Triple
T35752620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 Formula One season |
E1033355
|
entity |
| Predicate | hadDriver |
P118369
|
FINISHED |
| Object | Lewis Hamilton |
—
|
NE NERFINISHED |
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: Lewis Hamilton | Statement: [2017 Formula One season, hadDriver, Lewis Hamilton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadDriver Context triple: [2017 Formula One season, hadDriver, Lewis Hamilton]
-
A.
hasPrimaryDriver
Indicates that an entity is designated as the main or principal driver responsible for operating another entity, typically a vehicle.
-
B.
hasFormerDriver
Indicates that an entity previously served as a driver for another entity but no longer holds that role.
-
C.
isDriven
Indicates that one entity operates or controls the movement of another entity, typically a vehicle or device.
-
D.
hasDriver
chosen
Indicates that an entity is operated, controlled, or driven by a specific person or agent.
-
E.
droveFor
Indicates that one entity operated a vehicle on behalf of, or in service to, another entity for a certain period or purpose.
- F. None of above.
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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a198e24881909cc292e420269a8c |
completed | May 3, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.