Triple
T5693468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crouching Tiger, Hidden Dragon |
E125479
|
entity |
| Predicate | BAFTAAwardsWon |
P30075
|
FINISHED |
| Object | Best Film Not in the English Language |
—
|
LITERAL 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: Best Film Not in the English Language | Statement: [Crouching Tiger, Hidden Dragon, BAFTAAwardsWon, Best Film Not in the English Language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BAFTAAwardsWon Context triple: [Crouching Tiger, Hidden Dragon, BAFTAAwardsWon, Best Film Not in the English Language]
-
A.
baftaAward
chosen
Indicates that an entity has received or been honored with a BAFTA (British Academy of Film and Television Arts) award.
-
B.
tonyAwardsWonFor
Indicates the specific Tony Award-winning work or role for which an entity received a Tony Award.
-
C.
MVPAwards
Indicates a relationship where an entity receives or is associated with awards for music video production or performance.
-
D.
awardReceivedForTrack
Indicates that an award was received specifically in recognition of a particular track (e.g., song or recording).
-
E.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.