Triple
T10627157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freki |
E250352
|
entity |
| Predicate | appearsInArtAs |
P74686
|
FINISHED |
| Object | wolf at Odin's side |
—
|
LITERAL FINISHED |
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: wolf at Odin's side | Statement: [Freki, appearsInArtAs, wolf at Odin's side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInArtAs Context triple: [Freki, appearsInArtAs, wolf at Odin's side]
-
A.
appearsWithCharacter
Indicates that two characters are shown or present together within the same scene, shot, or context.
-
B.
appearsInWorkOfArt
chosen
Indicates that an entity is depicted, represented, or otherwise featured within a particular work of art.
-
C.
authorOfWorkHeAppearsIn
Indicates that a person is the author of a work in which he himself appears as a character or subject.
-
D.
portraysFictionalEntity
Indicates that one entity depicts, represents, or plays the role of a fictional character or figure.
-
E.
wasPortrayedAs
Indicates that one entity has been depicted or represented in the form or role of another entity, typically within some medium or context.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df8207f08190a6362a8ba00988b2 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:55 p.m.