Triple
T4034532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōkagami |
E83794
|
entity |
| Predicate | chronicleType |
P11858
|
FINISHED |
| Object | semi-fictionalized history |
—
|
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: semi-fictionalized history | Statement: [Ōkagami, chronicleType, semi-fictionalized history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronicleType Context triple: [Ōkagami, chronicleType, semi-fictionalized history]
-
A.
chronicledBy
Indicates that something is documented, recorded, or described in detail by a particular source, author, or record.
-
B.
Chronica_subject
Indicates that an entity serves as the subject or main focus of a chronicle, record, or historical account.
-
C.
chronologicallyCovers
Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
-
D.
narrativeType
chosen
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
E.
chapterType
Indicates the specific kind or category of a chapter within a larger work or document.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb11d92481909aaebbc250ff45b9 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.