Triple
T33711893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Isherwood (character) |
E863762
|
entity |
| Predicate | adaptedFromCharacterOf |
P119717
|
FINISHED |
| Object | Christopher Isherwood (narrator in Goodbye to Berlin) |
—
|
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: Christopher Isherwood (narrator in Goodbye to Berlin) | Statement: [Christopher Isherwood (character), adaptedFromCharacterOf, Christopher Isherwood (narrator in Goodbye to Berlin)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptedFromCharacterOf Context triple: [Christopher Isherwood (character), adaptedFromCharacterOf, Christopher Isherwood (narrator in Goodbye to Berlin)]
-
A.
adaptationOfCharacterFrom
chosen
Indicates that one character is derived, modified, or reinterpreted from an existing character in another work or version.
-
B.
inspiredByAdaptationOf
Indicates that something draws its inspiration from an adaptation (rather than the original source) of another work or entity.
-
C.
basedOnCharacterFromWork
Indicates that one entity is derived from, inspired by, or modeled after a character that appears in another creative work.
-
D.
inspiredByFictionalCharacter
Indicates that an entity’s characteristics, actions, or creation are influenced or modeled after a specific fictional character.
-
E.
formerCharacter
Indicates that an entity was once a character in a work or series but is no longer an active or current character.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:43 a.m.