Triple
T26983632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Män kan inte våldtas |
E679672
|
entity |
| Predicate | centralCharacterGender |
P106045
|
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: [Män kan inte våldtas, centralCharacterGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralCharacterGender Context triple: [Män kan inte våldtas, centralCharacterGender, female]
-
A.
protagonistGenderSelectable
Indicates that the gender of the story’s main character can be chosen or customized by the player or user.
-
B.
genderOfPersona
chosen
Indicates the gender identity associated with a given persona.
-
C.
fictionalGender
Indicates that one entity has a gender identity or classification that exists only within a fictional or imaginary context.
-
D.
isMaleCharacter
Indicates that the referenced character is identified as male.
-
E.
protagonistBiologicalSex
Indicates the biological sex assigned to the protagonist in the context of the described scenario or work.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 6:47 a.m.