Triple
T4685025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruby (character in "Ruby, Don’t Take Your Love to Town") |
E103899
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | song character |
C14302
|
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: song character Context triple: [Ruby (character in "Ruby, Don’t Take Your Love to Town"), instanceOf, song character]
-
A.
musical theatre character
A musical theatre character is a fictional persona in a stage musical whose story, emotions, and development are expressed through a combination of spoken dialogue, singing, and often dance.
-
B.
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.
-
C.
folk song character
chosen
A folk song character is a recurring or central figure in traditional songs whose traits, actions, and experiences embody the values, struggles, and stories of a particular culture or community.
-
D.
stock character
A stock character is a stereotypical fictional persona, easily recognized by audiences, that embodies a set of familiar traits, behaviors, and roles used repeatedly across stories and genres.
-
E.
film character
A film character is a fictional or real-life persona portrayed within a movie’s narrative, defined by their traits, motivations, relationships, and actions that drive the story forward.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
Created at: March 20, 2026, 1:16 p.m.