Triple
T30382789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirei Kotomine |
E772873
|
entity |
| Predicate | roleInFateStayNight |
P199838
|
FINISHED |
| Object | main antagonist |
—
|
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: main antagonist | Statement: [Kirei Kotomine, roleInFateStayNight, main antagonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInFateStayNight Context triple: [Kirei Kotomine, roleInFateStayNight, main antagonist]
-
A.
roleInFateZero
Indicates that an entity has a specific narrative or functional role within the context of the Fate/Zero series.
-
B.
roleInGenpeiWar
Indicates the specific role, position, or involvement an entity had in the events or factions of the Genpei War.
-
C.
roleInShadowlands
Indicates that one entity has a specific function, position, or significance within the context of the Shadowlands.
-
D.
roleInBladeTrinity
Indicates that an entity participated in the movie "Blade: Trinity" in a specific role (such as actor, director, or crew position).
-
E.
roleInRomanceOfTheThreeKingdoms
Indicates the narrative role or function an entity plays within the story of *Romance of the Three Kingdoms*.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff5b233e9c8190adc06cca0758986b |
completed | May 9, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ff5a5682108190a006b23c4fcdcc7c |
completed | May 9, 2026, 4:01 p.m. |
| PDg | Predicate description generation | batch_69ff5b224b8c8190bd0955876098ecc8 |
completed | May 9, 2026, 4:04 p.m. |
Created at: April 29, 2026, 8:01 p.m.