Triple
T32015732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulveflokk |
E817532
|
entity |
| Predicate | workUsedAsSourceForAdaptationIn |
P173118
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Ulveflokk, workUsedAsSourceForAdaptationIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workUsedAsSourceForAdaptationIn Context triple: [Ulveflokk, workUsedAsSourceForAdaptationIn, United States]
-
A.
usedInAdaptation
Indicates that something (such as a character, plot element, or work) is incorporated or appears within an adaptation of another original source.
-
B.
adaptedIntoWork
Indicates that an original work has been transformed or re-created into another work, typically in a different medium or format.
-
C.
adaptedWithin
Indicates that one entity has been modified, adjusted, or tailored to function appropriately within the context, scope, or boundaries defined by another entity.
-
D.
createdForAdaptation
Indicates that one entity was created specifically to serve as an adaptation of another entity, such as transforming the original into a new medium, format, or version.
-
E.
workAdaptedIn
Indicates that a work has been transformed or re-created into another medium or format, such as a book adapted into a film, play, or other derivative work.
- 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b43ae168819098c9774e3634b47a |
completed | May 3, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: May 1, 2026, 12:16 a.m.