Triple
T4522883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rama |
E103308
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Kausalya |
E106390
|
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: Kausalya | Statement: [Rama, parent, Kausalya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kausalya Context triple: [Rama, parent, Kausalya]
-
A.
Kausalya
chosen
Kausalya is a revered queen of Ayodhya in the Hindu epic Ramayana, best known as the virtuous and compassionate mother of Lord Rama.
-
B.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
C.
Yuktidipika
Yuktidipika is an important early commentary that elucidates and defends the philosophical doctrines of the classical Indian Sāṃkhya system.
-
D.
Mihna
The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
-
E.
Saravanabhava
Saravanabhava is an epithet of the Hindu god Kartikeya (Murugan), highlighting his mythological birth in the reeds of the Saravana lake.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd574d7c2481909049955ca47613a6 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda440e104819095d84fcd183c7a44 |
completed | March 20, 2026, 7:47 p.m. |
Created at: March 20, 2026, 1:02 p.m.