Triple
T37923647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archduchess Harriet / Archduke Harry |
E946032
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | gender-shifting character |
C5563
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: gender-shifting character Context triple: [Archduchess Harriet / Archduke Harry, instanceOf, gender-shifting character]
-
A.
androgynous character
An androgynous character is a figure whose appearance, behavior, and identity blend or transcend traditional male and female gender traits, making their gender presentation ambiguous or fluid.
-
B.
transgender woman character
A transgender woman character is a fictional or narrative figure who was assigned male at birth but identifies and lives as a woman, with her gender identity and experiences often shaping her personal journey, relationships, and role in the story.
-
C.
gender-reversed counterpart
chosen
A gender-reversed counterpart is a character or version of a person whose gender is switched from the original while preserving core identity traits, role, and narrative function.
-
D.
cross-dresser
A cross-dresser is a person who wears clothing and accessories typically associated with a different gender, often for self-expression, comfort, performance, or personal identity, without necessarily identifying as that gender.
-
E.
gay character
A gay character is a fictional or narrative figure whose romantic and/or sexual attraction is primarily toward people of the same gender, and whose identity or experiences as gay may meaningfully inform their role in the story.
- F. None of above.
Provenance (1 batch)
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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.