Triple
T8035705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kung Fu Panda 3 |
E187101
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | 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: Shifu | Statement: [Kung Fu Panda 3, mainCharacter, Shifu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shifu Context triple: [Kung Fu Panda 3, mainCharacter, 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.
Chi-Fu
Chi-Fu is the pompous and bureaucratic imperial advisor in Disney's 1998 animated film "Mulan," often serving as a comedic antagonist to the protagonist's efforts.
-
D.
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.
-
E.
Ka-chiu
Ka-chiu is the given name of John Lee Ka-chiu, the Chief Executive of Hong Kong and a former security official.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef68c6081908727d17238b3522a |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56f493908190b68e791cdbe725fa |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.