Triple
T17980759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shodashi |
E449594
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | Tripurasundari |
—
|
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: Tripurasundari | Statement: [Shodashi, epithet, Tripurasundari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tripurasundari Context triple: [Shodashi, epithet, Tripurasundari]
-
A.
Lalita Tripurasundari
chosen
Lalita Tripurasundari is a principal Hindu goddess of the Sri Vidya tradition, revered as the supremely beautiful and benevolent form of the Divine Mother who governs creation, preservation, and dissolution.
-
B.
Māyādevī
Māyādevī is revered in Buddhist tradition as the queen and mother of Siddhartha Gautama, who became the Buddha.
-
C.
Devasena
Devasena is a Hindu goddess known as one of the wives of the war god Kartikeya, often associated with valor and divine grace.
-
D.
Devasena
Devasena is a fierce and principled warrior princess from the Indian epic film series "Baahubali," known for her bravery, archery skills, and unwavering sense of justice.
-
E.
Kamakshi
Kamakshi is a revered form of the Hindu goddess Parvati, worshipped especially in Kanchipuram as a central deity of Shakta tradition.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b202aab88190b44851808c75a848 |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.