Triple
T24146341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Zorn |
E598396
|
entity |
| Predicate | hasAcademicStudent |
P155013
|
FINISHED |
| Object | Shizuo Kakutani |
—
|
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: Shizuo Kakutani | Statement: [Max Zorn, hasAcademicStudent, Shizuo Kakutani]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicStudent Context triple: [Max Zorn, hasAcademicStudent, Shizuo Kakutani]
-
A.
hasAcademicCharacter
Indicates that something possesses qualities, standards, or attributes associated with academic or scholarly work.
-
B.
hasAcademicSelection
Indicates that an entity has a specific academic choice or option (such as a selected course, program, or track) associated with it.
-
C.
hasAcademicSystem
Indicates that an entity is associated with or operates under a particular academic or educational system.
-
D.
hasAcademicComponent
Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
-
E.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
- F. None of above. chosen
Provenance (4 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e00b00708190bcd1d0b855230378 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 11:29 p.m.