Triple
T25210279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jappeloup |
E631664
|
entity |
| Predicate | portraysRealAnimal |
P161635
|
FINISHED |
| Object | Jappeloup de Luze |
—
|
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: Jappeloup de Luze | Statement: [Jappeloup, portraysRealAnimal, Jappeloup de Luze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysRealAnimal Context triple: [Jappeloup, portraysRealAnimal, Jappeloup de Luze]
-
A.
basedOnRealAnimal
Indicates that something is derived from, inspired by, or modeled after an actual real-world animal.
-
B.
hasAnimalActor
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
C.
hasAnthropomorphicAnimals
Indicates that something features animals with human-like characteristics, behaviors, or roles.
-
D.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
-
E.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
- 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_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 21, 2026, 12:58 p.m.