Triple
T20071985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashmir school of poetics |
E499759
|
entity |
| Predicate | coreText |
P11293
|
FINISHED |
| Object | Abhinavabhāratī |
—
|
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: Abhinavabhāratī | Statement: [Kashmir school of poetics, coreText, Abhinavabhāratī]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abhinavabhāratī Context triple: [Kashmir school of poetics, coreText, Abhinavabhāratī]
-
A.
Abhinavabhāratī
chosen
Abhinavabhāratī is an influential Sanskrit commentary on Bharata Muni’s Nāṭyaśāstra, renowned for its sophisticated aesthetic and philosophical analysis of Indian dramaturgy and rasa theory.
-
B.
Swadaya
Swadaya is a modern vernacular form of Neo-Aramaic traditionally written in the East Syriac script and used by Assyrian Christian communities.
-
C.
Kavya-Bhavan
Kavya-Bhavan is a publishing house known for issuing literary works such as the Bengali poetry collection "Agnibeena."
-
D.
Sanskar Bharati
Sanskar Bharati is an Indian cultural organization associated with the RSS that promotes traditional arts, literature, and cultural values.
-
E.
Swayam
Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66438633481908710907c48806499 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:40 p.m.