Triple
T11940236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sorcerer’s Apprentice (Fantasia segment) |
E284155
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Yen Sid |
E284158
|
NE 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: Yen Sid | Statement: [The Sorcerer’s Apprentice (Fantasia segment), featuresCharacter, Yen Sid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yen Sid Context triple: [The Sorcerer’s Apprentice (Fantasia segment), featuresCharacter, Yen Sid]
-
A.
Yen Sid
chosen
Yen Sid is the powerful and enigmatic sorcerer from Disney's "Fantasia," best known as Mickey Mouse's stern magical mentor in "The Sorcerer's Apprentice" segment.
-
B.
Duke of Sora
The Duke of Sora was a noble title in the Kingdom of Naples historically associated with the influential Italian della Rovere family.
-
C.
Mombi
Mombi is a wicked witch from L. Frank Baum’s Oz series, best known for usurping and enchanting Princess Ozma to conceal her true identity.
-
D.
Okame
Okame was a historical figure known primarily as the child of the famed Japanese tea master Sen no Rikyū.
-
E.
Yoshio Yoda
Yoshio Yoda was a Japanese-American actor best known for his role as Fuji Kobiaji on the 1960s television sitcom "McHale's Navy."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903415d2481909d84e6727454b9fe |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4409a40dc81909d87c50601b98b78 |
completed | May 1, 2026, 5:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.