Triple
T30348914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | エンジェルビーツ |
E771936
|
entity |
| Predicate | 舞台 |
P1060
|
FINISHED |
| Object | 死後の世界 |
—
|
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: 死後の世界 | Statement: [エンジェルビーツ, 舞台, 死後の世界]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 舞台 Context triple: [エンジェルビーツ, 舞台, 死後の世界]
-
A.
stage
Indicates that an entity organizes, presents, or performs another entity (such as an event, show, or action) as a staged occurrence.
-
B.
theatre
Indicates that an entity is a theater or is associated with theatrical performances or activities.
-
C.
théâtre
Indicates a relationship where an entity is associated with, takes place in, or is characterized as a theater or theatrical performance context.
-
D.
theater
chosen
Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
-
E.
stageSystem
Indicates a relationship where a system is arranged, set up, or prepared in stages or on a particular stage for operation or presentation.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6820a250c8190ba7afa43f6f55c46 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:56 p.m.