Triple
T10213226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kadhalan |
E242380
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Kadhalan |
E242380
|
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: Kadhalan | Statement: [Kadhalan, title, Kadhalan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kadhalan Context triple: [Kadhalan, title, Kadhalan]
-
A.
Kadhalan
chosen
Kadhalan is a popular 1994 Tamil romantic thriller film best known for its chart-topping soundtrack composed by A. R. Rahman.
-
B.
Kadhal Rojave
Kadhal Rojave is a popular romantic Tamil song composed by A. R. Rahman for the 1992 film Roja, noted for its melodious tune and emotional depth.
-
C.
Kadhalil Vizhunthen
Kadhalil Vizhunthen is a 2008 Tamil romantic drama film known for its hit song "Naaka Mukka" and for starring Nakul and Sunaina in the lead roles.
-
D.
Kadhalikka Neramillai
Kadhalikka Neramillai is a classic 1964 Tamil romantic comedy film celebrated for its humorous storytelling, memorable performances, and enduring popularity in South Indian cinema.
-
E.
O Kadhal Kanmani
O Kadhal Kanmani is a 2015 Tamil romantic drama film directed by Mani Ratnam that explores a modern live-in relationship between a young couple in urban India.
- 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_69d6a7f6730081908b941eaeb6c00993 |
completed | April 8, 2026, 7:09 p.m. |
Created at: April 6, 2026, 11:03 a.m.