Triple
T20214254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akane |
E493574
|
entity |
| Predicate | roleWithSakura |
P133192
|
FINISHED |
| Object | adoptive mother |
—
|
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: adoptive mother | Statement: [Akane, roleWithSakura, adoptive mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithSakura Context triple: [Akane, roleWithSakura, adoptive mother]
-
A.
roleWith
chosen
Indicates that one entity holds or performs a particular role in relation to another entity.
-
B.
roleInJapaneseService
Indicates that an entity holds or held a specific role, position, or function within a Japanese organization, institution, or service.
-
C.
roleOnPern
Indicates the specific function, position, or duty an entity holds within the context of Pern.
-
D.
roleInShinKokinWakashu
Indicates the specific role or involvement an entity has in relation to the Shin Kokin Wakashū (e.g., as compiler, editor, or contributor).
-
E.
sonRole
Indicates that one entity holds the role or relationship of a son with respect to another entity.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed8101081908e53a8bde48624b1 |
completed | April 20, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:38 p.m.