Triple
T14529398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Mallard |
E340862
|
entity |
| Predicate | usedByAuthorToCritique |
P42995
|
FINISHED |
| Object | patriarchal marriage norms |
—
|
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: patriarchal marriage norms | Statement: [Louise Mallard, usedByAuthorToCritique, patriarchal marriage norms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByAuthorToCritique Context triple: [Louise Mallard, usedByAuthorToCritique, patriarchal marriage norms]
-
A.
usedToCritique
Indicates that something is employed as a means to analyze, evaluate, or express disapproval of something else.
-
B.
usedByAuthorTo
chosen
Indicates that something is employed or utilized by an author to achieve a particular purpose or effect.
-
C.
usedByAuthor
Indicates that something (such as a method, tool, or resource) is employed or utilized by an author.
-
D.
aimsToCritique
Indicates an intention to analyze and point out faults, limitations, or weaknesses in something.
-
E.
usedAsAuthorCitationFor
Indicates that one entity is cited or referenced as the author in the bibliographic citation of another entity.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea051bc608190ad4d516c5e7bca43 |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.