Triple
T18584054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 檜山修之 |
E454193
|
entity |
| Predicate | voicedCharacter |
P2000
|
FINISHED |
| Object | 獅子王凱 |
—
|
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: 獅子王凱 | Statement: [檜山修之, voicedCharacter, 獅子王凱]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 獅子王凱 Context triple: [檜山修之, voicedCharacter, 獅子王凱]
-
A.
Alex the Lion
chosen
Alex the Lion is the charismatic, showboating lion from DreamWorks’ Madagascar franchise, known as the star attraction of the Central Park Zoo and leader of the main animal group.
-
B.
Maxwell Simba
Maxwell Simba is a Kenyan actor best known for his lead role as William Kamkwamba in the film "The Boy Who Harnessed the Wind."
-
C.
LION
LION is the commonly used acronym for the Leiden Institute of Physics, a research and teaching institute at Leiden University in the Netherlands.
-
D.
Leo the Lion
Leo the Lion is the iconic roaring lion featured in the opening logo of Metro-Goldwyn-Mayer (MGM) films.
-
E.
Leo the Lion
Leo the Lion is the costumed lion mascot representing Purdue University Northwest’s athletic teams and school spirit.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543d200dc8190b8797d731f4e4865 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:44 a.m.