Triple
T23788029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queens of Comedy |
E588007
|
entity |
| Predicate | featureSubject |
P68011
|
FINISHED |
| Object | Mo'Nique |
—
|
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: Mo'Nique | Statement: [Queens of Comedy, featureSubject, Mo'Nique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureSubject Context triple: [Queens of Comedy, featureSubject, Mo'Nique]
-
A.
featuresTopic
Indicates that something (such as a work, event, or item) prominently includes, focuses on, or is organized around a particular topic.
-
B.
featuredElement
chosen
Indicates that one element is highlighted or given special prominence relative to others in a given context.
-
C.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
-
D.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
E.
subjectOfDescription
Indicates that the subject is the main entity being described or characterized in a given context or statement.
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c6332cb48190aa45ca6d8d98ed08 |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:17 p.m.