Triple
T24265971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Black Lady Sketch Show |
E604838
|
entity |
| Predicate | hasAllBlackWomenWritersRoom |
P155381
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [A Black Lady Sketch Show, hasAllBlackWomenWritersRoom, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAllBlackWomenWritersRoom Context triple: [A Black Lady Sketch Show, hasAllBlackWomenWritersRoom, true]
-
A.
broadwayProductionAllFemaleCreativeTeam
Indicates that the Broadway production’s entire primary creative team (e.g., director, writers, designers) consists exclusively of women.
-
B.
allFemaleCollaboration
Indicates that the collaboration involves exclusively female participants.
-
C.
createdByWritersOf
Indicates that something (such as a work, character, or concept) was created by the writers of a specified work or series.
-
D.
hasAllBlack
Indicates that the subject possesses or consists entirely of things that are black in color.
-
E.
hasScreenwriter
Indicates that a creative work is associated with the person or entity who wrote its screenplay or script.
- F. None of above. chosen
Provenance (4 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6bfe68819084ec59235ae58ff1 |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:06 a.m.