Triple
T4026642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kung Fu Panda (2008 film) score |
E83605
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Training Po
"Training Po" is an instrumental track from the Kung Fu Panda (2008) film score that underscores Po's rigorous martial arts training and character growth.
|
E409247
|
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: Training Po | Statement: [Kung Fu Panda (2008 film) score, hasTrack, Training Po]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Training Po Context triple: [Kung Fu Panda (2008 film) score, hasTrack, Training 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
PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
-
C.
POC
POC is the commonly used abbreviation for the Postal Operations Council, the executive body responsible for overseeing the operational, commercial, and technical activities of the Universal Postal Union.
-
D.
POU
POU is the IATA airport code for Hudson Valley Regional Airport, a public airport serving the Poughkeepsie area in New York’s Hudson Valley.
-
E.
Poga
Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
- 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: Training Po Triple: [Kung Fu Panda (2008 film) score, hasTrack, Training Po]
Generated description
"Training Po" is an instrumental track from the Kung Fu Panda (2008) film score that underscores Po's rigorous martial arts training and character growth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Training Po Target entity description: "Training Po" is an instrumental track from the Kung Fu Panda (2008) film score that underscores Po's rigorous martial arts training and character growth.
-
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
PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
-
C.
POC
POC is the commonly used abbreviation for the Postal Operations Council, the executive body responsible for overseeing the operational, commercial, and technical activities of the Universal Postal Union.
-
D.
POU
POU is the IATA airport code for Hudson Valley Regional Airport, a public airport serving the Poughkeepsie area in New York’s Hudson Valley.
-
E.
Poga
Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaed37e48190844032e7e77163e0 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5562f3fd881909975cb85143ad466 |
completed | March 14, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69b55a3d0f3c8190942f8b93129310a9 |
completed | March 14, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55a9ec7e88190bc5d165fd666f4b3 |
completed | March 14, 2026, 12:54 p.m. |
Created at: March 9, 2026, 3:36 p.m.