Triple
T9906673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kung Fu Panda |
E185027
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Master Shifu |
E683353
|
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: Master Shifu | Statement: [Kung Fu Panda, featuresCharacter, Master Shifu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Master Shifu Context triple: [Kung Fu Panda, featuresCharacter, Master Shifu]
-
A.
Shifu
chosen
Shifu is the wise and disciplined red panda kung fu master who trains Po and the Furious Five in the Kung Fu Panda film series.
-
B.
Tai Lung
Tai Lung is the powerful snow leopard martial artist who serves as the main antagonist in the first Kung Fu Panda film.
-
C.
Oogway Ascends
"Oogway Ascends" is a poignant, orchestral track from the Kung Fu Panda film score, widely recognized for its emotional depth and serene, reflective melody.
-
D.
Kung Fu Panda
Kung Fu Panda is an animated action-comedy film franchise about an unlikely panda hero named Po who becomes a kung fu master in ancient China.
-
E.
Panda Po
"Panda Po" is a musical track from the score of the animated film "Kung Fu Panda" (2008), composed to reflect the character Po's personality and journey.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb316a188190a1c7fbe0d1997cf5 |
completed | April 5, 2026, 4:55 a.m. |
Created at: March 30, 2026, 8:41 p.m.