Triple
T38393263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Van Buren |
E899783
|
entity |
| Predicate | socialConstraint |
P192024
|
FINISHED |
| Object | rigid gender 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: rigid gender norms | Statement: [Mrs. Van Buren, socialConstraint, rigid gender norms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialConstraint Context triple: [Mrs. Van Buren, socialConstraint, rigid gender norms]
-
A.
socialCondition
Indicates the social or societal circumstances, status, or environment affecting an entity at a given time.
-
B.
socialComposition
Indicates the makeup or distribution of different social groups or categories within a population or community.
-
C.
contentRestriction
Indicates that access to or use of certain content is limited or controlled based on specified rules or conditions.
-
D.
legalConstraint
Indicates that one entity imposes or is subject to a rule, restriction, or requirement defined by a legal or regulatory framework in relation to another entity or action.
-
E.
socialStatusRequirement
Indicates that a certain social rank or status level is required for an entity to participate in, access, or be eligible for a given relationship or action.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
| PDg | Predicate description generation | batch_69fcf1b241888190a243f07051c71383 |
completed | May 7, 2026, 8:10 p.m. |
Created at: May 3, 2026, 4:31 p.m.