Triple
T22264321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yogini Tantra |
E550309
|
entity |
| Predicate | focusesOnDeity |
P48430
|
FINISHED |
| Object | Devi |
—
|
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: Devi | Statement: [Yogini Tantra, focusesOnDeity, Devi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devi Context triple: [Yogini Tantra, focusesOnDeity, Devi]
-
A.
Devi
chosen
Devi is the supreme goddess in Hinduism, embodying the divine feminine power (Shakti) in its many forms such as Durga, Parvati, Lakshmi, and Saraswati.
-
B.
Devi Shachi
Devi Shachi, also known as Indrani, is the queen of the gods and consort of Indra in Hindu mythology, revered as a powerful goddess of beauty, prosperity, and divine authority.
-
C.
Bhudevi
Bhudevi is the Hindu earth goddess and consort of Lord Vishnu, revered as the personification of the fertile, nurturing aspects of the Earth.
-
D.
Kamakshi
Kamakshi is a revered form of the Hindu goddess Parvati, worshipped especially in Kanchipuram as a central deity of Shakta tradition.
-
E.
Durga
Durga is a central character in Bibhutibhushan Bandyopadhyay’s novel and Satyajit Ray’s film adaptation "Pather Panchali," depicted as a spirited, mischievous young girl growing up in rural Bengal.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141ba5c9481909e24067133918ae2 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.