Triple
T7714531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kung Fu Panda 2 |
E174847
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Po |
E683351
|
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: Po | Statement: [Kung Fu Panda 2, protagonist, Po]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Po Context triple: [Kung Fu Panda 2, protagonist, Po]
-
A.
Po
The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
-
B.
Po
chosen
Po is the lovable, dumpling-obsessed panda who becomes the Dragon Warrior and hero of the Kung Fu Panda film series.
-
C.
PO
PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
-
D.
PO
PO is the commonly used abbreviation for Opole University of Technology, a technical university located in Opole, Poland.
-
E.
Pol
Pol is a given name and variant of Paul, used in several European languages such as Catalan and French.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ca8f048190a6ea27b8cee2f93e |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b508fa2081908ed05ca8c4815249 |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4:04 p.m.