Triple
T31925996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shade, the Changing Woman |
E815111
|
entity |
| Predicate | reimaginesCharacter |
P78725
|
FINISHED |
| Object | Shade |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Shade | Statement: [Shade, the Changing Woman, reimaginesCharacter, Shade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reimaginesCharacter Context triple: [Shade, the Changing Woman, reimaginesCharacter, Shade]
-
A.
inspiredRemakeCharacter
Indicates that one character in a remake is based on, modeled after, or creatively derived from another character in an earlier work.
-
B.
reimagines
chosen
Indicates that one entity creatively reconceives, interprets, or presents another in a significantly new or different way.
-
C.
remixCharacter
Indicates that one character is a modified, reinterpreted, or creatively altered version of another character.
-
D.
formerCharacter
Indicates that an entity was once a character in a work or series but is no longer an active or current character.
-
E.
characterRoleSwap
Indicates a relationship where two characters exchange or assume each other’s narrative roles or functions within a story or scenario.
- F. None of above.
Provenance (3 batches)
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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6aca7081881909e96a8b05ec086bb |
completed | May 3, 2026, 2:02 a.m. |
Created at: May 1, 2026, 12:03 a.m.