Triple
T22640736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Bud: Spikes Back |
E558816
|
entity |
| Predicate | featuresFictionalDog |
P115956
|
FINISHED |
| Object | Buddy the basketball-playing dog |
—
|
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: Buddy the basketball-playing dog | Statement: [Air Bud: Spikes Back, featuresFictionalDog, Buddy the basketball-playing dog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresFictionalDog Context triple: [Air Bud: Spikes Back, featuresFictionalDog, Buddy the basketball-playing dog]
-
A.
dogCharacter
Indicates that an entity has the personality traits, behavior, or role characteristic of a dog.
-
B.
characterNameOfDog
Indicates that the specified name is the character name assigned to a dog.
-
C.
petCharacter
Indicates that one entity is a pet belonging to, cared for by, or closely associated with another entity as its owner or companion.
-
D.
hasFictionalPet
Indicates that an entity has, owns, or is associated with a pet that is fictional or imaginary.
-
E.
featuresFictionalElement
chosen
Indicates that one entity includes, presents, or incorporates a fictional element (such as an imaginary character, place, object, or concept) as part of its content or composition.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170116fe881908178cffef26e3ae7 |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:04 p.m.