Triple
T34021373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pātañjalayogaśāstra (when combined with Vyāsa’s Bhāṣya) |
E872390
|
entity |
| Predicate | authorOfSūtras |
P58465
|
FINISHED |
| Object | Patañjali |
—
|
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: Patañjali | Statement: [Pātañjalayogaśāstra (when combined with Vyāsa’s Bhāṣya), authorOfSūtras, Patañjali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfSūtras Context triple: [Pātañjalayogaśāstra (when combined with Vyāsa’s Bhāṣya), authorOfSūtras, Patañjali]
-
A.
authors
Indicates that one entity is the creator or writer of another entity, such as a document, work, or piece of content.
-
B.
authorTraditionallyAscribedTo
chosen
Indicates that authorship of a work is customarily or historically attributed to an entity, even if definitive proof of authorship may be uncertain or disputed.
-
C.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
D.
authorFounded
Indicates that the author is the person who established or created the referenced organization, institution, or entity.
-
E.
authorType
Indicates the specific role or category of authorship associated with an entity, such as primary author, co-author, or editor.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: May 1, 2026, 1:51 a.m.