Triple
T32303232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Yellow Wallpaper |
E825290
|
entity |
| Predicate | firstPersonNarratorGender |
P38674
|
FINISHED |
| Object | female |
—
|
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: female | Statement: [The Yellow Wallpaper, firstPersonNarratorGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPersonNarratorGender Context triple: [The Yellow Wallpaper, firstPersonNarratorGender, female]
-
A.
genderOfPersona
Indicates the gender identity associated with a given persona.
-
B.
fictionalGender
Indicates that one entity has a gender identity or classification that exists only within a fictional or imaginary context.
-
C.
femaleSubject
Indicates that the subject in the relationship or action is female.
-
D.
protagonistGenderIdentity
chosen
Indicates the gender identity attributed to or expressed by the protagonist in a given context.
-
E.
femaleHas
Indicates that a specified entity is female or possesses a female gender attribute in relation to another entity or context.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:45 a.m.