Triple
T23788035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queens of Comedy |
E588007
|
entity |
| Predicate | featuresCastDemographic |
P7875
|
FINISHED |
| Object | Black female comedians |
—
|
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: Black female comedians | Statement: [Queens of Comedy, featuresCastDemographic, Black female comedians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCastDemographic Context triple: [Queens of Comedy, featuresCastDemographic, Black female comedians]
-
A.
shareDemographicFeature
Indicates that two or more entities have at least one demographic characteristic in common (such as age group, gender, ethnicity, or similar attributes).
-
B.
hasDemographic
chosen
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
C.
demographicsCharacteristic
Indicates that one entity serves as a demographic attribute or characteristic (such as age, gender, ethnicity, etc.) that describes or classifies another entity.
-
D.
involvesDemographic
Indicates that an action, event, or entity is related to, affects, or includes a specific demographic group or population segment.
-
E.
featuresCastType
Indicates that one entity includes or highlights a particular type or category of cast (e.g., actors or performers) associated with it.
- 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.