Triple
T37913525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commentary on the Sutra of Perfect Enlightenment |
E945749
|
entity |
| Predicate | authorIsA |
P141308
|
FINISHED |
| Object | Tang dynasty scholar-monk |
—
|
LITERAL FINISHED |
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: Tang dynasty scholar-monk | Statement: [Commentary on the Sutra of Perfect Enlightenment, authorIsA, Tang dynasty scholar-monk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorIsA Context triple: [Commentary on the Sutra of Perfect Enlightenment, authorIsA, Tang dynasty scholar-monk]
-
A.
authorIsAlso
Indicates that the same individual serves simultaneously as the author and as the other specified role or entity in the relationship.
-
B.
authorType
chosen
Indicates the specific role or category of authorship associated with an entity, such as primary author, co-author, or editor.
-
C.
workAuthorIs
Indicates that a specific person or entity is the author or creator of a particular work.
-
D.
authorSameAs
Indicates that two author identifiers or representations refer to the same underlying author.
-
E.
authorStatus
Indicates the role or standing an individual holds as an author, such as their level of contribution, recognition, or current authorship state in relation to a work.
- 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_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: May 3, 2026, 4:20 p.m.