Triple
T26606393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of My World |
E667783
|
entity |
| Predicate | featuresVirtuoso |
P80690
|
FINISHED |
| Object | Sam Bush |
—
|
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: Sam Bush | Statement: [King of My World, featuresVirtuoso, Sam Bush]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresVirtuoso Context triple: [King of My World, featuresVirtuoso, Sam Bush]
-
A.
featuresVenerationOf
Indicates that something includes or displays acts, symbols, or practices of reverence or worship directed toward a person, figure, or entity.
-
B.
featuresIn
chosen
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
C.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
D.
featuresStructure
Indicates that one entity possesses, exhibits, or incorporates a particular structure as a notable characteristic or component.
-
E.
featuresModel
Indicates that one entity includes, exposes, or is characterized by a particular model as one of its defining components or capabilities.
- 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_69ee9cfd20348190bb1255d2603efb7a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 27, 2026, 2:14 a.m.