Triple
T7968518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yam Kim-fai |
E185265
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | female impersonator of male roles |
C15723
|
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: female impersonator of male roles Context triple: [Yam Kim-fai, instanceOf, female impersonator of male roles]
-
A.
cross-dresser
chosen
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.
-
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
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.
pantomime performer
A pantomime performer is an entertainer who tells stories and conveys emotions through exaggerated physical movement, facial expressions, and gestures without spoken dialogue.
-
E.
French can-can dancer
A French can-can dancer is a high-energy stage performer who executes fast-paced kicks, splits, and acrobatic moves in frilly skirts and petticoats, traditionally in Parisian cabarets.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:13 p.m.