Triple
T14384907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primetime Emmy Award for Outstanding Single-Camera Picture Editing |
E356697
|
entity |
| Predicate | pictureEditingType |
P74586
|
FINISHED |
| Object | picture editing |
—
|
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: picture editing | Statement: [Primetime Emmy Award for Outstanding Single-Camera Picture Editing, pictureEditingType, picture editing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pictureEditingType Context triple: [Primetime Emmy Award for Outstanding Single-Camera Picture Editing, pictureEditingType, picture editing]
-
A.
imageProcessor
Indicates a relationship where an entity performs operations to analyze, transform, or manipulate images.
-
B.
cropMilk
Indicates that one entity extracts or expresses milk from another entity, typically by squeezing or manipulating it.
-
C.
editingIs
Indicates that one entity is performing or undergoing the process of editing another entity.
-
D.
pegType
Indicates the specific category or kind of peg associated with or assigned to an entity.
-
E.
supportsEditingType
chosen
Indicates that one entity enables or allows another entity to perform or handle a specified type of editing.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9025cff881908c08224d90d9f750 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.