Triple
T36301948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Women (film adaptations including Good Wives material) |
E893840
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | group of film adaptations |
C64693
|
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: group of film adaptations Context triple: [Little Women (film adaptations including Good Wives material), instanceOf, group of film adaptations]
-
A.
film franchise
A film franchise is a series of related movies, often sharing characters, settings, or a fictional universe, produced under a common title or brand.
-
B.
collection of adaptations
A collection of adaptations is an organized set of related modifications or changes—biological, cultural, or technological—that together illustrate how an entity or system adjusts to specific conditions or challenges.
-
C.
Ramayana adaptation
A Ramayana adaptation is a creative reinterpretation of the ancient Indian epic that reshapes its characters, plot, themes, or setting to resonate with a new cultural, temporal, or artistic context while retaining its core narrative essence.
-
D.
comic book adaptation
A comic book adaptation is a work that translates the characters, stories, and visual style of a comic book into another medium, such as film, television, or video games, while retaining key narrative and aesthetic elements.
-
E.
film character ensemble
A film character ensemble is a group of distinct, interrelated characters in a movie whose combined interactions and development collectively drive the narrative.
- F. None of above. chosen
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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.