Triple
T235867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Vindication of the Rights of Woman |
E4823
|
entity |
| Predicate | arguesFor |
P33
|
FINISHED |
| Object | equality of men and women as rational beings |
—
|
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: equality of men and women as rational beings | Statement: [A Vindication of the Rights of Woman, arguesFor, equality of men and women as rational beings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arguesFor Context triple: [A Vindication of the Rights of Woman, arguesFor, equality of men and women as rational beings]
-
A.
arguesThat
Indicates that one entity presents reasons or justification in support of a specific claim, position, or proposition held about another entity or topic.
-
B.
advocates
chosen
Indicates that one entity publicly supports, recommends, or argues in favor of another entity or its interests.
-
C.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
D.
defends
Indicates that one entity protects or supports another entity against attack, criticism, or harm.
-
E.
affirms
Indicates that one entity explicitly confirms, supports, or asserts the truth or validity of another entity, statement, or proposition.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25ccab7648190be6e4f5febc1e313 |
completed | Feb. 28, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69a25b5dc640819092669575731c393f |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.