Triple
T37897764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sogetsu school |
E945327
|
entity |
| Predicate | has notable student |
P4838
|
FINISHED |
| Object | Hiroshi 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: Hiroshi Teshigahara | Statement: [Sogetsu school, has notable student, Hiroshi Teshigahara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: has notable student Context triple: [Sogetsu school, has notable student, Hiroshi Teshigahara]
-
A.
notableStudent
chosen
Indicates that a person is a distinguished or particularly significant student of another individual or institution.
-
B.
notableStudentOrFollower
Indicates that one entity is a notable student or follower of another entity, highlighting a significant mentor–disciple or influence relationship between them.
-
C.
notableStudentOrCircle
Indicates that there exists a notable student or intellectual circle associated with a given person or entity.
-
D.
notableStudentBodyAssociatedWith
Indicates that there is a significant or noteworthy group of students associated with a particular entity, such as an institution, organization, or program.
-
E.
notableStudentOccupation
Indicates that the occupation specified is a particularly notable or distinguished role held by the student in question.
- 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_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.