Triple
T31215977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wagon Queen Family Truckster |
E795870
|
entity |
| Predicate | fictionalBrand |
P194135
|
FINISHED |
| Object | Wagon Queen |
—
|
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: Wagon Queen | Statement: [Wagon Queen Family Truckster, fictionalBrand, Wagon Queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalBrand Context triple: [Wagon Queen Family Truckster, fictionalBrand, Wagon Queen]
-
A.
fictionalBusiness
Indicates that the referenced business entity exists only in fiction and does not operate as a real-world commercial organization.
-
B.
fictionalCorporation
Indicates that an entity is a corporation that exists only in fiction rather than in the real world.
-
C.
fictionalObject
Indicates that one entity is a fictional or imaginary object in relation to another entity.
-
D.
fictionalOrganizationFeatured
Indicates that a fictional organization is prominently presented or plays a significant role within a given work or context.
-
E.
fictionalDenomination
Indicates a relationship where an entity is associated with a made-up or non-real-world religious or monetary denomination.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69fd64bb345c819096a35c72784a8ce3 |
completed | May 8, 2026, 4:21 a.m. |
Created at: April 29, 2026, 9:10 p.m.