Triple
T923540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiva |
E19933
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object |
Shankara
Shankara is a revered epithet of the Hindu god Shiva, highlighting his role as a benevolent and auspicious divine benefactor.
|
E132807
|
NE FINISHED |
How this triple was built (4 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: Shankara | Statement: [Shiva, epithet, Shankara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shankara Context triple: [Shiva, epithet, Shankara]
-
A.
Narayana
Narayana is a revered name of the Hindu god Vishnu, especially associated with his role as the supreme preserver and sustainer of the universe.
-
B.
Jagat Gosain
Jagat Gosain was a Mughal empress and Rajput princess, best known as the wife of Emperor Jahangir and the mother of Shah Jahan.
-
C.
Kalki
Kalki is the prophesied future incarnation of the Hindu god Vishnu who is foretold to appear at the end of the current age to restore righteousness and cosmic order.
-
D.
Swami
Swami is a Hindu honorific title denoting a religious teacher or monk who has taken vows of renunciation and spiritual discipline.
-
E.
Kapila
Kapila is an ancient Indian sage and philosopher traditionally regarded as the founder of the Samkhya school of Hindu philosophy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shankara Triple: [Shiva, epithet, Shankara]
Generated description
Shankara is a revered epithet of the Hindu god Shiva, highlighting his role as a benevolent and auspicious divine benefactor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shankara Target entity description: Shankara is a revered epithet of the Hindu god Shiva, highlighting his role as a benevolent and auspicious divine benefactor.
-
A.
Narayana
Narayana is a revered name of the Hindu god Vishnu, especially associated with his role as the supreme preserver and sustainer of the universe.
-
B.
Jagat Gosain
Jagat Gosain was a Mughal empress and Rajput princess, best known as the wife of Emperor Jahangir and the mother of Shah Jahan.
-
C.
Kalki
Kalki is the prophesied future incarnation of the Hindu god Vishnu who is foretold to appear at the end of the current age to restore righteousness and cosmic order.
-
D.
Swami
Swami is a Hindu honorific title denoting a religious teacher or monk who has taken vows of renunciation and spiritual discipline.
-
E.
Kapila
Kapila is an ancient Indian sage and philosopher traditionally regarded as the founder of the Samkhya school of Hindu philosophy.
- F. None of above. chosen
Provenance (5 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3296f50819087f809fbe90b139e |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6611ad508190aac3a6f15a63bbe8 |
completed | March 7, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69ac66a8430c819088544c91725e57bc |
completed | March 7, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac671d04e48190b839f29511e4cfb5 |
completed | March 7, 2026, 5:57 p.m. |
Created at: March 1, 2026, 7:40 p.m.