Triple
T9119340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shraddhadeva Manu |
E218804
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Saranyu |
E449121
|
NE FINISHED |
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: Saranyu | Statement: [Shraddhadeva Manu, mother, Saranyu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saranyu Context triple: [Shraddhadeva Manu, mother, Saranyu]
-
A.
Saranyu
chosen
Saranyu is a goddess in Hindu mythology, known as the wife of the sun god Surya and mother of several important deities, including the Ashvins and Yama.
-
B.
Urmila
Urmila is a character in the Hindu epic Ramayana, revered as the devoted wife of Lakshmana and sister of Sita.
-
C.
Kaushalya
Kaushalya is a queen of Ayodhya and the mother of Lord Rama in the ancient Indian epic Ramayana.
-
D.
Subhadrangi
Subhadrangi is traditionally regarded as the mother of the Mauryan emperor Ashoka and is often identified in Buddhist texts as a queen of modest origins who became an important figure in his early life.
-
E.
Kuhelika
Kuhelika is a Bengali novel by Kazi Nazrul Islam that explores themes of social injustice, revolution, and human relationships.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a7c6d48190a015efd17a017ca1 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0544c06ec8190917707d75db7e9c5 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:17 p.m.