Triple
T37913555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commentary on the Sutra of Perfect Enlightenment |
E945749
|
entity |
| Predicate | authorAssociatedSchool |
P42300
|
FINISHED |
| Object | Heze Chan |
—
|
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: Heze Chan | Statement: [Commentary on the Sutra of Perfect Enlightenment, authorAssociatedSchool, Heze Chan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorAssociatedSchool Context triple: [Commentary on the Sutra of Perfect Enlightenment, authorAssociatedSchool, Heze Chan]
-
A.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
-
B.
authorOfSchool
Indicates that a person is the author or creator of a particular school, such as a school of thought, artistic movement, or academic tradition.
-
C.
associatedInstitutionType
Indicates the type or category of institution with which an entity is associated.
-
D.
associatedWithSchool
chosen
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
-
E.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: May 3, 2026, 4:20 p.m.