Triple
T10213406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagaan |
E242384
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Lagaan |
E242374
|
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: Lagaan | Statement: [Lagaan, title, Lagaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagaan Context triple: [Lagaan, title, Lagaan]
-
A.
Lagaan
chosen
Lagaan is a critically acclaimed 2001 Indian epic sports drama film set in colonial India, known for its blend of cricket, music, and anti-colonial resistance.
-
B.
Nayakan
Nayakan is a critically acclaimed 1987 Tamil crime drama film directed by Mani Ratnam, renowned for Kamal Haasan’s powerful performance and its portrayal of a Mumbai underworld don.
-
C.
Rang De Basanti
Rang De Basanti is a 2006 Indian Hindi-language drama film that blends contemporary youth activism with historical patriotism, known for its impactful storytelling and acclaimed music.
-
D.
Veer-Zaara
Veer-Zaara is a 2004 Indian romantic drama film directed by Yash Chopra, celebrated for its cross-border love story between an Indian man and a Pakistani woman and its memorable music.
-
E.
Nayak
Nayak is a 1966 Bengali film directed by Satyajit Ray that explores the inner life and moral conflicts of a matinee idol during an overnight train journey.
- 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_69d71c77f65c8190862fde1c2fae045b |
completed | April 9, 2026, 3:26 a.m. |
Created at: April 6, 2026, 11:03 a.m.