Triple
T37228122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Turbo Terrific |
E923058
|
entity |
| Predicate | associatedWithTraitOfDriver |
P112715
|
FINISHED |
| Object | perfectionism |
—
|
LITERAL 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: perfectionism | Statement: [The Turbo Terrific, associatedWithTraitOfDriver, perfectionism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTraitOfDriver Context triple: [The Turbo Terrific, associatedWithTraitOfDriver, perfectionism]
-
A.
associatedWithDriver
Indicates that one entity has a connection or relationship with a specific driver, such as being linked, assigned, or otherwise related to that driver.
-
B.
alsoAssociatedWithDriver
Indicates that an entity has an additional or secondary association with a specified driver, beyond any primary or previously stated driver relationship.
-
C.
associatedWithPersonaTrait
chosen
Indicates that an entity is linked to or characterized by a particular persona trait or attribute.
-
D.
associatedWithVehicleSegment
Indicates a relationship where something is linked or connected to a specific segment or portion of a vehicle.
-
E.
usedTractionType
Indicates the type of traction or drive mechanism that was employed in performing the action or operating the entity.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.