Triple
T30347780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuchiin Academy |
E771910
|
entity |
| Predicate | hasDisciplineCommitteeMember |
P103908
|
FINISHED |
| Object | Miko Iino |
—
|
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: Miko Iino | Statement: [Shuchiin Academy, hasDisciplineCommitteeMember, Miko Iino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisciplineCommitteeMember Context triple: [Shuchiin Academy, hasDisciplineCommitteeMember, Miko Iino]
-
A.
hasCommittee
Indicates that an entity is associated with or overseen by a specific committee.
-
B.
hasCommitteeType
Indicates that an entity is associated with a committee of a specified type or classification.
-
C.
hasDisciplineRole
Indicates that an entity holds a specific role or function within a particular discipline or field.
-
D.
hasCommitteeMembers
chosen
Indicates that a committee is composed of, or includes, specific individuals as its members.
-
E.
hasDisciplinaryBody
Indicates that an entity is overseen, regulated, or governed by a specific disciplinary or regulatory body.
- 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_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 29, 2026, 7:56 p.m.