Triple
T18452045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nala |
E450805
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Damayanti |
—
|
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: Damayanti | Statement: [Nala, spouse, Damayanti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damayanti Context triple: [Nala, spouse, Damayanti]
-
A.
Damayanti
chosen
Damayanti is a celebrated heroine in Hindu mythology, renowned for her beauty, virtue, and unwavering devotion to her husband Nala in the epic tale of their trials and separation.
-
B.
Chitrangada
Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
-
C.
Padmini
Padmini was a renowned Indian actress and classical Bharatanatyam dancer who gained fame through her work in South Indian and Hindi cinema.
-
D.
Mangalambika
Mangalambika is a Hindu goddess revered as the consort of Lord Shiva at the Adi Kumbeswarar Temple in Kumbakonam, Tamil Nadu.
-
E.
Meenakshi
Meenakshi is a revered form of the Hindu goddess Parvati, worshipped especially in South India as the fish-eyed consort of Shiva and patron deity of Madurai.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264906cc8190b8b2cb77ec93d480 |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:31 a.m.