Triple
T22312291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parashu Rama |
E551548
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Rama Bhargava |
—
|
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: Rama Bhargava | Statement: [Parashu Rama, alternateName, Rama Bhargava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rama Bhargava Context triple: [Parashu Rama, alternateName, Rama Bhargava]
-
A.
Bhargava Rama
chosen
Bhargava Rama is the sixth avatar of the Hindu god Vishnu, revered as a warrior-sage known for wielding an axe and eradicating corrupt Kshatriya rulers.
-
B.
M. Venkataramana
M. Venkataramana is a former Indian cricketer and coach known for his contributions to domestic cricket, particularly in Tamil Nadu.
-
C.
Manjul Bhargava
Manjul Bhargava is a Canadian-American mathematician renowned for his groundbreaking work in number theory, for which he received the Fields Medal in 2014.
-
D.
Bharat Ramaswami
Bharat Ramaswami is an Indian economist known for his research in agricultural economics, development policy, and trade, and for his long association with leading academic institutions in India.
-
E.
Sai Krishna Kudla
Sai Krishna Kudla is an Indian film actor best known for his performances in Tulu-language cinema.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574f97cc81909685aeef15d02af9 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.