Triple
T8035712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kung Fu Panda 3 |
E187101
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Mr. Ping
Mr. Ping is Po’s adoptive goose father and a noodle shop owner in the Kung Fu Panda film series.
|
E708896
|
NE FINISHED |
How this triple was built (4 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: Mr. Ping | Statement: [Kung Fu Panda 3, mainCharacter, Mr. Ping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Ping Context triple: [Kung Fu Panda 3, mainCharacter, Mr. Ping]
-
A.
Mr. Wong
Mr. Wong is the enigmatic criminal mastermind and primary antagonist in the 1934 mystery film "The Mysterious Mr. Wong."
-
B.
Shen Te
Shen Te is the central character in Bertolt Brecht’s play "The Good Person of Szechwan," a compassionate but struggling woman whose attempts to live morally in a corrupt society force her to adopt a harsher alter ego.
-
C.
Mr. Wuf
Mr. Wuf is the costumed wolf mascot who represents North Carolina State University's athletic teams and school spirit.
-
D.
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.
-
E.
Sam Poo Kong
Sam Poo Kong is a historic Chinese temple complex in Semarang, Indonesia, revered as a cultural and religious site linked to the legendary admiral Zheng He.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mr. Ping Triple: [Kung Fu Panda 3, mainCharacter, Mr. Ping]
Generated description
Mr. Ping is Po’s adoptive goose father and a noodle shop owner in the Kung Fu Panda film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Ping Target entity description: Mr. Ping is Po’s adoptive goose father and a noodle shop owner in the Kung Fu Panda film series.
-
A.
Mr. Wong
Mr. Wong is the enigmatic criminal mastermind and primary antagonist in the 1934 mystery film "The Mysterious Mr. Wong."
-
B.
Shen Te
Shen Te is the central character in Bertolt Brecht’s play "The Good Person of Szechwan," a compassionate but struggling woman whose attempts to live morally in a corrupt society force her to adopt a harsher alter ego.
-
C.
Mr. Wuf
Mr. Wuf is the costumed wolf mascot who represents North Carolina State University's athletic teams and school spirit.
-
D.
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.
-
E.
Sam Poo Kong
Sam Poo Kong is a historic Chinese temple complex in Semarang, Indonesia, revered as a cultural and religious site linked to the legendary admiral Zheng He.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69cc5ca6efbc819082f4c643446da354 |
completed | March 31, 2026, 11:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5d6d93f08190b17d6c7a4fad2cf0 |
completed | March 31, 2026, 11:49 p.m. |
Created at: March 30, 2026, 5:22 p.m.