Triple
T31198469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | That's Entertainment, Part II |
E795396
|
entity |
| Predicate | featuresClipFrom |
P202177
|
FINISHED |
| Object | Singin' in the Rain |
—
|
NE NERFINISHED |
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: Singin' in the Rain | Statement: [That's Entertainment, Part II, featuresClipFrom, Singin' in the Rain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresClipFrom Context triple: [That's Entertainment, Part II, featuresClipFrom, Singin' in the Rain]
-
A.
videoFeatures
Indicates that one entity possesses or includes specific characteristics, attributes, or elements of a video.
-
B.
cutFrom
Indicates that one entity has been removed or separated from another entity by cutting.
-
C.
videoCropIn4K
Indicates that a video has been cropped while maintaining or targeting a 4K resolution.
-
D.
filmEditing
Indicates that one entity is responsible for editing or assembling the footage of a film associated with another entity.
-
E.
featuredElement
Indicates that one element is highlighted or given special prominence relative to others in a given context.
- F. None of above. chosen
Provenance (4 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a005d878aec81908e1177914a8fb610 |
completed | May 10, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a005c382f8881908ff33ebb7f88c430 |
completed | May 10, 2026, 10:21 a.m. |
| PDg | Predicate description generation | batch_6a005d86d6e481909e9f6ae81568cfb8 |
completed | May 10, 2026, 10:27 a.m. |
Created at: April 29, 2026, 9:09 p.m.