Triple
T30349810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruri Miyamoto |
E771961
|
entity |
| Predicate | relationshipToKosakiOnodera |
P203902
|
FINISHED |
| Object | close friend |
—
|
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: close friend | Statement: [Ruri Miyamoto, relationshipToKosakiOnodera, close friend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToKosakiOnodera Context triple: [Ruri Miyamoto, relationshipToKosakiOnodera, close friend]
-
A.
relationshipToYukina
Indicates a specified type of personal or social connection that an entity has with Yukina.
-
B.
relationshipToLadyKiritsubo
Indicates the type or nature of a person’s relationship to Lady Kiritsubo.
-
C.
relationshipTypeWithToruWatanabe
Indicates the specific nature or category of relationship that an entity has with Toru Watanabe.
-
D.
relationshipToMoriFamily
Indicates the specific familial or relational connection an entity has to the Mori family.
-
E.
relationshipToArichAnpin
Indicates a relational connection or association that an entity has to Arich Anpin within a given spiritual, hierarchical, or conceptual framework.
- 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_6a0249374a8c8190ab19002a123da439 |
completed | May 11, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_6a02486194b08190a489ae3a8f4a59a9 |
completed | May 11, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_6a024936acc48190bc4a9abe4c519302 |
completed | May 11, 2026, 9:25 p.m. |
Created at: April 29, 2026, 7:56 p.m.