Triple
T33675710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randall Raines |
E862753
|
entity |
| Predicate | carNicknamingConvention |
P165157
|
FINISHED |
| Object | female names |
—
|
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: female names | Statement: [Randall Raines, carNicknamingConvention, female names]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carNicknamingConvention Context triple: [Randall Raines, carNicknamingConvention, female names]
-
A.
vehicleNamesTheme
chosen
Indicates that the relationship or context involves a theme centered around vehicle names.
-
B.
nicknameForManufacturer
Indicates that one name or label is used as an informal or alternative nickname for a particular manufacturer.
-
C.
nicknameOfOwners
Indicates that a given nickname belongs to or is used for the owners of a particular entity.
-
D.
vehicleName
Indicates the specific name or designation assigned to a vehicle.
-
E.
vehicleTheme
Indicates that an entity serves as the vehicle or means through which another entity, event, or action is carried out or expressed.
- 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_69f34985885c8190914322f492e04703 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fa3fb3d88190b5878cadf6125c31 |
completed | May 3, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.