Triple
T30345517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type-Moon |
E771858
|
entity |
| Predicate | roleOfKinokoNasu |
P172838
|
FINISHED |
| Object | scenario writer |
—
|
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: scenario writer | Statement: [Type-Moon, roleOfKinokoNasu, scenario writer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfKinokoNasu Context triple: [Type-Moon, roleOfKinokoNasu, scenario writer]
-
A.
roleInShinKokinWakashu
Indicates the specific role or involvement an entity has in relation to the Shin Kokin Wakashū (e.g., as compiler, editor, or contributor).
-
B.
roleInAnime
Indicates that an entity holds a specific character role or participation in a particular anime work.
-
C.
usesKakaliNishada
Indicates that one entity employs or incorporates the specific musical element or note known as Kakali Nishada in relation to another entity or context.
-
D.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
-
E.
roleInPikmin4
Indicates the specific function, importance, or part an entity plays within the context of the game Pikmin 4.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 29, 2026, 7:55 p.m.