Triple
T10213428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagaan |
E242384
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Raghubir Yadav |
E849871
|
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: Raghubir Yadav | Statement: [Lagaan, castMember, Raghubir Yadav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raghubir Yadav Context triple: [Lagaan, castMember, Raghubir Yadav]
-
A.
Raghubir Yadav
chosen
Raghubir Yadav is an acclaimed Indian actor and singer known for his versatile performances in film, television, and theatre.
-
B.
Raghuveer Chaudhari
Raghuveer Chaudhari is an acclaimed Indian Gujarati writer and scholar renowned for his influential novels, poetry, and literary criticism.
-
C.
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.
-
D.
Lakshmikant Dixit
Lakshmikant Dixit is a Hindu priest and scholar known for leading the consecration rituals at the Ram Mandir in Ayodhya.
-
E.
Shyam Lal Yadav
Shyam Lal Yadav is an Indian politician who has served as a Member of Parliament representing the Varanasi Lok Sabha constituency.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb26d17c8190848b6b0d4df06fa2 |
completed | April 9, 2026, 7:16 p.m. |
Created at: April 6, 2026, 11:03 a.m.