Triple
T30349782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ore no Kanojo to Osananajimi ga Shuraba Sugiru |
E771960
|
entity |
| Predicate | childhoodFriendCharacter |
P57640
|
FINISHED |
| Object | Chiwa Harusaki |
—
|
NE NERFINISHED |
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: Chiwa Harusaki | Statement: [Ore no Kanojo to Osananajimi ga Shuraba Sugiru, childhoodFriendCharacter, Chiwa Harusaki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childhoodFriendCharacter Context triple: [Ore no Kanojo to Osananajimi ga Shuraba Sugiru, childhoodFriendCharacter, Chiwa Harusaki]
-
A.
childCharacter
Indicates that one entity is a child version or child role of another character entity.
-
B.
childhoodFriend
chosen
Indicates that two people were close friends during their childhood period.
-
C.
petCharacter
Indicates that one entity is a pet belonging to, cared for by, or closely associated with another entity as its owner or companion.
-
D.
childOfCharacter
Indicates that one character is the offspring (biological, adopted, or otherwise recognized child) of another character.
-
E.
cultCharacter
Indicates that one entity is a character who is venerated, worshipped, or centrally revered within the cult associated with the other 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 7:56 p.m.