Triple
T35181329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte von Mahlsdorf in I Am My Own Wife |
E1015857
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | stage portrayal of real person |
C8473
|
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: stage portrayal of real person Context triple: [Charlotte von Mahlsdorf in I Am My Own Wife, instanceOf, stage portrayal of real person]
-
A.
fictionalized portrayal of real person
A fictionalized portrayal of a real person is a narrative representation that alters or embellishes factual details of an actual individual’s life, personality, or experiences for creative or dramatic purposes.
-
B.
portrayal of historical figure
chosen
A portrayal of a historical figure represents the depiction, interpretation, or embodiment of a real person from the past through various media, emphasizing selected traits, actions, and contexts to convey a particular perspective or narrative.
-
C.
theatrical character
A theatrical character is a fictional persona created for and portrayed within a stage performance, embodying specific traits, motivations, and relationships that drive the drama.
-
D.
stage musical character
A stage musical character is a fictional persona created for live theatrical performance, whose personality, actions, and development are expressed through a combination of dialogue, song, and often dance within the narrative of a musical.
-
E.
live-action character
A live-action character is a fictional or real persona portrayed by an actor in filmed or staged productions using real-world performances rather than animation.
- 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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.