Triple
T22108681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raghuveer Chaudhari |
E546357
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Raghuveer Chaudhari |
—
|
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: Raghuveer Chaudhari | Statement: [Raghuveer Chaudhari, name, Raghuveer Chaudhari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raghuveer Chaudhari Context triple: [Raghuveer Chaudhari, name, Raghuveer Chaudhari]
-
A.
Raghuveer Chaudhari
chosen
Raghuveer Chaudhari is an acclaimed Indian Gujarati writer and scholar renowned for his influential novels, poetry, and literary criticism.
-
B.
Raghubir Yadav
Raghubir Yadav is an acclaimed Indian actor and singer known for his versatile performances in film, television, and theatre.
-
C.
Vinay Mishra
Vinay Mishra is an Indian politician serving as a Member of the Legislative Assembly (MLA) from the Dwarka constituency in Delhi.
-
D.
Brajesh Mishra
Brajesh Mishra was an Indian diplomat and politician who became a key architect of India’s foreign and security policy in the late 1990s and early 2000s, particularly during the Vajpayee government.
-
E.
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291b9c988190b3ddd06d1f40dc78 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.