Triple
T26898695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butch the Bulldog |
E677963
|
entity |
| Predicate | ownerInVariousCartoons |
P62301
|
FINISHED |
| Object | various unnamed owners |
—
|
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: various unnamed owners | Statement: [Butch the Bulldog, ownerInVariousCartoons, various unnamed owners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerInVariousCartoons Context triple: [Butch the Bulldog, ownerInVariousCartoons, various unnamed owners]
-
A.
portrayedInAnimationBy
Indicates that an entity is represented or voiced in an animated work by a particular performer or creator.
-
B.
ownedByFictionalCharacter
chosen
Indicates that something is possessed or owned by a fictional (not real-world) character.
-
C.
franchiseCharacter
Indicates a relationship where a character belongs to, appears in, or is part of a particular media franchise.
-
D.
roleInDisney
Indicates that an entity has a role or participation in a Disney-related production, project, or organization.
-
E.
associatedCharacters
Indicates that two or more characters are linked or connected through some relationship, involvement, or relevance to each other.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:49 a.m.