Triple
T37923619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marmaduke Bonthrop Shelmerdine |
E946031
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | gender-fluid character |
C62169
|
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-fluid character Context triple: [Marmaduke Bonthrop Shelmerdine, instanceOf, gender-fluid character]
-
A.
androgynous character
chosen
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.
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.
-
D.
hybrid character
A hybrid character is a fictional entity that combines traits, abilities, or forms from multiple distinct species, cultures, or archetypes into a single, cohesive persona.
-
E.
female figure
A female figure is a representation of a woman or girl, typically emphasizing feminine physical characteristics, posture, and expression in artistic, cultural, or symbolic contexts.
- 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.