Triple
T4519796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyasa |
E103237
|
entity |
| Predicate | teacherOf |
P48
|
FINISHED |
| Object |
Vaishampayana
Vaishampayana is an ancient sage and disciple of Vyasa, best known in Hindu tradition for reciting and transmitting the Mahabharata.
|
E453075
|
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: Vaishampayana | Statement: [Vyasa, teacherOf, Vaishampayana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaishampayana Context triple: [Vyasa, teacherOf, Vaishampayana]
-
A.
Vyasa
Vyasa is the legendary sage in Hindu tradition credited with composing and compiling the Mahabharata and organizing the Vedas.
-
B.
Valmiki
Valmiki is the revered ancient Indian sage traditionally credited with composing the epic Sanskrit poem Ramayana.
-
C.
Bharata Muni
Bharata Muni is the ancient Indian sage traditionally credited with authoring the Nāṭyaśāstra, the foundational treatise on Sanskrit dramaturgy, performance, and aesthetic theory.
-
D.
Vatsyayana
Vatsyayana was an influential ancient Indian philosopher best known for his authoritative commentaries on the Nyaya school of logic and epistemology.
-
E.
Devarishi Narada
Devarishi Narada is a revered sage and divine messenger in Hindu tradition, known for traveling between worlds to spread wisdom, devotion, and news among gods and humans.
- 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: Vaishampayana Triple: [Vyasa, teacherOf, Vaishampayana]
Generated description
Vaishampayana is an ancient sage and disciple of Vyasa, best known in Hindu tradition for reciting and transmitting the Mahabharata.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vaishampayana Target entity description: Vaishampayana is an ancient sage and disciple of Vyasa, best known in Hindu tradition for reciting and transmitting the Mahabharata.
-
A.
Vyasa
Vyasa is the legendary sage in Hindu tradition credited with composing and compiling the Mahabharata and organizing the Vedas.
-
B.
Valmiki
Valmiki is the revered ancient Indian sage traditionally credited with composing the epic Sanskrit poem Ramayana.
-
C.
Bharata Muni
Bharata Muni is the ancient Indian sage traditionally credited with authoring the Nāṭyaśāstra, the foundational treatise on Sanskrit dramaturgy, performance, and aesthetic theory.
-
D.
Vatsyayana
Vatsyayana was an influential ancient Indian philosopher best known for his authoritative commentaries on the Nyaya school of logic and epistemology.
-
E.
Devarishi Narada
Devarishi Narada is a revered sage and divine messenger in Hindu tradition, known for traveling between worlds to spread wisdom, devotion, and news among gods and humans.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5747e90c81908fa112ecace699a9 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc55254848190940c506e75d79933 |
completed | March 20, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69bdc8eea638819080c255769a66d651 |
completed | March 20, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdc96926288190b7a922adf15098f4 |
completed | March 20, 2026, 10:25 p.m. |
Created at: March 20, 2026, 1:02 p.m.