Triple
T20976676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recorded Picture Company |
E516643
|
entity |
| Predicate | awardedForFilm |
P93687
|
FINISHED |
| Object | The Last Emperor |
—
|
NE NERFINISHED |
How this triple was built (3 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: The Last Emperor | Statement: [Recorded Picture Company, awardedForFilm, The Last Emperor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Last Emperor Context triple: [Recorded Picture Company, awardedForFilm, The Last Emperor]
-
A.
The Last Emperor
chosen
The Last Emperor is a 1987 biographical epic film directed by Bernardo Bertolucci that chronicles the life of Puyi, the last Emperor of China.
-
B.
The Last Emperor
The Last Emperor is a biography by Peter Townsend that chronicles the life and reign of the last ruling monarch of a historic empire.
-
C.
Mao's Last Dancer
Mao's Last Dancer is a biographical drama film based on the life of Chinese ballet dancer Li Cunxin, depicting his rise from poverty in Maoist China to international stardom and personal freedom in the West.
-
D.
Emperor (2012 film)
Emperor (2012 film) is a historical drama set in post-World War II Japan that follows General Bonner Fellers as he investigates Emperor Hirohito’s role in the war to determine his fate during the American occupation.
-
E.
soundtrack for The Last Emperor
The soundtrack for The Last Emperor is an Academy Award-winning film score, co-composed by Ryuichi Sakamoto, that blends traditional Chinese instrumentation with Western orchestral music to accompany Bernardo Bertolucci’s historical epic.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForFilm Context triple: [Recorded Picture Company, awardedForFilm, The Last Emperor]
-
A.
associatedAwardWinningFilm
chosen
Indicates that there is a relationship between an entity and a film with which it is connected, where that film has received an award.
-
B.
firstAwardedForFilm
Indicates the film for which an entity (such as a person or award) was first given or received an award.
-
C.
hasAwardedForFilmIndustry
Indicates that an entity has given or conferred an award to another entity specifically for achievements in the film industry.
-
D.
awardedForTheater
Indicates that an award or honor is given in recognition of achievements or contributions in the field of theater.
-
E.
associatedWithAwardNominatedFilm
Indicates that an entity has a relationship to a film that has been nominated for an award.
- F. None of above.
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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba4a0dc819083b90795d26adfff |
completed | April 21, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:47 p.m.