Triple
T36803942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大隅良典 |
E909393
|
entity |
| Predicate | 所属学会 |
P49876
|
FINISHED |
| Object | 日本学士院 |
—
|
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: 日本学士院 | Statement: [大隅良典, 所属学会, 日本学士院]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所属学会 Context triple: [大隅良典, 所属学会, 日本学士院]
-
A.
所属大学
Indicates that one entity is the university to which the other entity belongs or is affiliated (e.g., as a student, faculty member, or staff).
-
B.
conferenceAffiliation
Indicates that an entity is formally associated with or participates in a particular conference (e.g., as an organizer, sponsor, or member).
-
C.
所属組織
chosen
Indicates that one entity belongs to, is a member of, or is organizationally affiliated with another entity.
-
D.
conferenceAffiliationType
Indicates the type or nature of an entity’s affiliation or association with a particular conference.
-
E.
相关学院
Indicates a relationship where an entity is associated with, belongs to, or is administered by a particular college or faculty within an institution.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.