Triple
T34280538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradwell v. Illinois |
E879577
|
entity |
| Predicate | impactOnWomen |
P102027
|
FINISHED |
| Object | delayed women’s access to the legal profession in many states |
—
|
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: delayed women’s access to the legal profession in many states | Statement: [Bradwell v. Illinois, impactOnWomen, delayed women’s access to the legal profession in many states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnWomen Context triple: [Bradwell v. Illinois, impactOnWomen, delayed women’s access to the legal profession in many states]
-
A.
impactOnHumans
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
B.
impactOnFamily
Indicates the effect or influence that something has on a family’s situation, dynamics, or well-being.
-
C.
impactOnReproduction
Indicates a relationship where one entity affects, alters, or influences the reproductive capacity, success, or processes of another entity.
-
D.
impactOnSubject
chosen
Indicates the effect, influence, or consequence that one entity, event, or action has on a specified subject.
-
E.
impactCategory
Indicates the type or domain of effect that one entity or action has on another, classifying the nature of its impact.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 1, 2026, 1:57 a.m.