Triple
T28896533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appaloosa Interactive |
E732847
|
entity |
| Predicate | hasWorkWithAnimalProtagonist |
P25502
|
FINISHED |
| Object | Ecco the Dolphin |
—
|
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: Ecco the Dolphin | Statement: [Appaloosa Interactive, hasWorkWithAnimalProtagonist, Ecco the Dolphin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkWithAnimalProtagonist Context triple: [Appaloosa Interactive, hasWorkWithAnimalProtagonist, Ecco the Dolphin]
-
A.
hasAnimalActor
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
B.
animalProtagonist
chosen
Indicates that the main character or central figure in a narrative is an animal.
-
C.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
D.
hasAnthropomorphicAnimals
Indicates that something features animals with human-like characteristics, behaviors, or roles.
-
E.
usesCreature
Indicates that one entity employs, controls, or relies on a creature to perform an action or fulfill a function.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 28, 2026, 7:59 a.m.