Triple
T25706934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enid Blyton Adventure Series |
E644617
|
entity |
| Predicate | hasMainAnimalCharacter |
P25502
|
FINISHED |
| Object | Kiki the parrot |
—
|
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: Kiki the parrot | Statement: [Enid Blyton Adventure Series, hasMainAnimalCharacter, Kiki the parrot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainAnimalCharacter Context triple: [Enid Blyton Adventure Series, hasMainAnimalCharacter, Kiki the parrot]
-
A.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
B.
hasAnimalActor
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
C.
animalProtagonist
chosen
Indicates that the main character or central figure in a narrative is an animal.
-
D.
hasAnthropomorphicAnimals
Indicates that something features animals with human-like characteristics, behaviors, or roles.
-
E.
hasAnimalClass
Indicates that an entity belongs to, or is categorized under, a particular animal class (such as mammal, bird, reptile, etc.).
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 21, 2026, 9:05 p.m.