Triple
T37897767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sogetsu school |
E945327
|
entity |
| Predicate | has notable member |
P304
|
FINISHED |
| Object | Sofu Teshigahara |
—
|
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: Sofu Teshigahara | Statement: [Sogetsu school, has notable member, Sofu Teshigahara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: has notable member Context triple: [Sogetsu school, has notable member, Sofu Teshigahara]
-
A.
hasNotableMember
chosen
Indicates that a group, organization, or collection includes at least one member who is distinguished or noteworthy in some significant way.
-
B.
hasNotableFormerMemberRole
Indicates that an entity has a role or position that was notably held by a former member of that entity.
-
C.
notableMemberUnit
Indicates that an entity is a distinguished or prominent member within a particular group, organization, or unit.
-
D.
hadMember
Indicates that an entity was formerly a member or part of another entity or group.
-
E.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
- 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.