Triple
T29476427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sō Percussion |
E747659
|
entity |
| Predicate | hasEducationRoleAt |
P3295
|
FINISHED |
| Object | Princeton University |
—
|
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: Princeton University | Statement: [Sō Percussion, hasEducationRoleAt, Princeton University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationRoleAt Context triple: [Sō Percussion, hasEducationRoleAt, Princeton University]
-
A.
hasEducationalRole
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
B.
hasEducationalDesignation
Indicates that an entity holds a specific educational title, status, or classification assigned by an educational system or institution.
-
C.
hasCollegeSystemRole
Indicates that an entity holds a specific role or position within a college’s organizational or system structure.
-
D.
hasTeachingRole
chosen
Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
-
E.
educationalRoleSince
Indicates the point in time since which an entity has held a particular educational role or position in relation to another entity.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 28, 2026, 4 p.m.