Triple
T33532348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Originals |
E858827
|
entity |
| Predicate | hasMotorbikes |
P197243
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Originals, hasMotorbikes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotorbikes Context triple: [The Originals, hasMotorbikes, true]
-
A.
usedMotorcycle
Indicates that an entity is a motorcycle that has been previously owned or operated, rather than being new.
-
B.
motoOf
Indicates that something is the motto associated with a particular entity (such as an organization, place, or group).
-
C.
motorcycleBrand
Indicates that one entity is a brand or manufacturer of the motorcycle represented by the other entity.
-
D.
motorcycleClass
Indicates the classification or category to which a motorcycle belongs (e.g., by type, style, or usage).
-
E.
hasDrivingMotorCar
Indicates that one entity operates or drives a motor car in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
| PDg | Predicate description generation | batch_69fe7eb31b04819081be531fd9f8a78c |
completed | May 9, 2026, 12:24 a.m. |
Created at: May 1, 2026, 1:39 a.m.