Triple
T25006816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow, Glass, Apples |
E625861
|
entity |
| Predicate | illustratorOfComicAdaptation |
P157538
|
FINISHED |
| Object | Colleen Doran |
—
|
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: Colleen Doran | Statement: [Snow, Glass, Apples, illustratorOfComicAdaptation, Colleen Doran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illustratorOfComicAdaptation Context triple: [Snow, Glass, Apples, illustratorOfComicAdaptation, Colleen Doran]
-
A.
illustratorOfOriginalLightNovel
Indicates that one entity is the illustrator who created the original artwork for a specific light novel.
-
B.
illustratorOfOriginalCollection
Indicates that an entity served as the illustrator for the original version of a collection of works.
-
C.
creatorOfAdaptationCharacterIn
Indicates that a person is the creator of a character that appears in a particular adaptation of a work.
-
D.
comicStripArtist
Indicates that one entity is the artist who creates or draws the comic strips associated with another entity.
-
E.
creatorInComics
Indicates that one entity is the creator (such as writer or artist) responsible for the content or characters appearing in a particular comic work or series.
- 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_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44b12bd788190bc32bb8129c4550e |
completed | May 1, 2026, 6:41 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:05 a.m.