Triple
T26898553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey’s Revue |
E677958
|
entity |
| Predicate | marksCharacterDebut |
P64461
|
FINISHED |
| Object | Goofy |
—
|
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: Goofy | Statement: [Mickey’s Revue, marksCharacterDebut, Goofy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marksCharacterDebut Context triple: [Mickey’s Revue, marksCharacterDebut, Goofy]
-
A.
featuresCharacterDebut
Indicates that the subject work includes the first-ever appearance of a particular character.
-
B.
comicsDebut
Indicates the work, issue, or publication in which an entity first appeared in comics.
-
C.
marksDebutOfCharacter
chosen
Indicates that an event, work, or appearance represents the first introduction of a particular character.
-
D.
characterFirstAppearanceInThisPortrayal
Indicates that this is the first time the character appears in the specific portrayal or adaptation being referenced.
-
E.
comicStripDebutIn
Indicates the date, publication, or context in which a comic strip was first introduced or published.
- 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_69f61fad18408190a274a3f7022f3104 |
completed | May 2, 2026, 4 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:49 a.m.