Triple
T28910263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quality Control |
E733200
|
entity |
| Predicate | featuresProminently |
P39789
|
FINISHED |
| Object | Chali 2na |
—
|
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: Chali 2na | Statement: [Quality Control, featuresProminently, Chali 2na]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresProminently Context triple: [Quality Control, featuresProminently, Chali 2na]
-
A.
featuresPromotion
Indicates that something includes, offers, or presents a promotion as part of its content or configuration.
-
B.
promotedFeature
Indicates that one entity is highlighted, advertised, or given elevated visibility or priority as a special feature by another entity.
-
C.
featuresStar
chosen
Indicates that one entity prominently includes or showcases another entity as a main star or featured performer.
-
D.
featuresIn
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.
-
E.
featuresDemon
Indicates that an entity includes, depicts, or prominently involves a demon.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69feba0f09508190b3e871c62b19ec7f |
completed | May 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69feb957fe7c8190969fb31a6d1a59c8 |
completed | May 9, 2026, 4:34 a.m. |
Created at: April 28, 2026, 8:11 a.m.