Triple
T32304173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mara Brock Akil |
E825315
|
entity |
| Predicate | notableSeriesTheme |
P85244
|
FINISHED |
| Object | African-American women’s lives and relationships |
—
|
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: African-American women’s lives and relationships | Statement: [Mara Brock Akil, notableSeriesTheme, African-American women’s lives and relationships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSeriesTheme Context triple: [Mara Brock Akil, notableSeriesTheme, African-American women’s lives and relationships]
-
A.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
B.
notableSeriesFocus
chosen
Indicates that a notable series primarily centers on, highlights, or is thematically focused around a particular subject or entity.
-
C.
inSeriesTheme
Indicates that one entity serves as the thematic subject or focus within a particular series.
-
D.
notableTheme
Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
-
E.
notableSeriesStyle
Indicates that a work is created in the characteristic style of a notable series or franchise.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:45 a.m.