Triple
T26896240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerda |
E677904
|
entity |
| Predicate | influencedAdaptationsOf |
P172347
|
FINISHED |
| Object | The Snow Queen |
—
|
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: The Snow Queen | Statement: [Gerda, influencedAdaptationsOf, The Snow Queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedAdaptationsOf Context triple: [Gerda, influencedAdaptationsOf, The Snow Queen]
-
A.
inspiredAdaptationsIn
Indicates that one entity served as the creative source or influence for adaptations that were produced or manifested within another entity (such as a medium, work, or context).
-
B.
inspiredAdaptationsOf
Indicates that one work or creation has been adapted or transformed into another as a result of being inspired by it.
-
C.
laterAdaptedIn
Indicates that something was subsequently adapted, modified, or reworked in a later context, version, or medium.
-
D.
inspiredByAdaptationOf
Indicates that something draws its inspiration from an adaptation (rather than the original source) of another work or entity.
-
E.
laterAdaptedFor
Indicates that something was subsequently modified or repurposed to serve a new use, context, or medium.
- F. None of above. chosen
Provenance (4 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 27, 2026, 5:48 a.m.