Triple
T31527270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | publication of My Mother’s Keeper in 1985 |
E804379
|
entity |
| Predicate | typeOfControversy |
P42781
|
FINISHED |
| Object | family memoir backlash |
—
|
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: family memoir backlash | Statement: [publication of My Mother’s Keeper in 1985, typeOfControversy, family memoir backlash]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfControversy Context triple: [publication of My Mother’s Keeper in 1985, typeOfControversy, family memoir backlash]
-
A.
controversyType
chosen
Indicates the specific kind or category of controversy associated with an entity or situation.
-
B.
controversy
Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
-
C.
controversialWithin
Indicates that something is the subject of significant disagreement, debate, or divided opinion within a specified group, community, or context.
-
D.
controversialBecause
Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
-
E.
resultOfControversy
Indicates that something occurs, exists, or is produced as a consequence or outcome of a controversy.
- 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_69f348cf839c81908657048402f7f97b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
Created at: April 30, 2026, 9:59 p.m.