Triple
T9004558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live Photos |
E215111
|
entity |
| Predicate | defaultFileFormatVideo |
P85676
|
FINISHED |
| Object | MOV |
—
|
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: MOV | Statement: [Live Photos, defaultFileFormatVideo, MOV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultFileFormatVideo Context triple: [Live Photos, defaultFileFormatVideo, MOV]
-
A.
videoOutput
Indicates that one entity produces or provides video signals or content as output to another entity or medium.
-
B.
videoEncoding
Indicates that one entity is used to encode, compress, or transform video data into a particular digital format or representation for another entity.
-
C.
videoStandard
Indicates the video format or broadcasting standard that applies to a given video or recording.
-
D.
typicalPictureFormat
Indicates the standard or most commonly used picture format associated with an entity (such as a device, medium, or context).
-
E.
defaultVolumeFormat
Indicates the standard or preselected format in which a volume is created, stored, or presented unless an alternative is specified.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6959497c8190a748c78504dd2eb6 |
completed | April 1, 2026, 12:39 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:05 p.m.