Triple
T35441937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flowers of Shanghai |
E1024364
|
entity |
| Predicate | shotStructure |
P30535
|
FINISHED |
| Object | long takes |
—
|
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: long takes | Statement: [Flowers of Shanghai, shotStructure, long takes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shotStructure Context triple: [Flowers of Shanghai, shotStructure, long takes]
-
A.
shotType
chosen
Indicates the specific kind or category of shot used or taken in a given context (e.g., in film, photography, or sports).
-
B.
segmentStructure
Indicates that one entity represents a structural or organizational subdivision (a segment) within the overall structure of another entity.
-
C.
shotBy
Indicates that one entity fired a projectile or weapon that hit and wounded or killed another entity.
-
D.
shotIn
Indicates that an event, scene, or media production was filmed or recorded at a particular location.
-
E.
raceStructure
Indicates a structural or organizational relationship that defines how a race (such as a competition or contest) is arranged, configured, or composed.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7961d2fb08190bf1ee368e152feda |
completed | May 3, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:04 p.m.