Triple
T21596040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chi è questa che vèn, ch’ogn’om la mira |
E532900
|
entity |
| Predicate | funzioneDellaDonna |
P144107
|
FINISHED |
| Object | mediatore tra umano e divino |
—
|
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: mediatore tra umano e divino | Statement: [Chi è questa che vèn, ch’ogn’om la mira, funzioneDellaDonna, mediatore tra umano e divino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: funzioneDellaDonna Context triple: [Chi è questa che vèn, ch’ogn’om la mira, funzioneDellaDonna, mediatore tra umano e divino]
-
A.
femaleFeature
Indicates that the subject possesses a characteristic or attribute that is typically associated with females.
-
B.
femaleSubject
Indicates that the subject in the relationship or action is female.
-
C.
womenEdition
Indicates that something is a version, issue, or release specifically tailored for or dedicated to women.
-
D.
femaleHas
Indicates that a specified entity is female or possesses a female gender attribute in relation to another entity or context.
-
E.
womenSection
Indicates that something is designated as belonging to, located in, or associated with the women's section or area.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae15a7c819081627450ae726b0b |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63384a8fc819084c596bb53a3a1db |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 16, 2026, 6:32 p.m.