Triple
T8565194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vetrimaaran |
E202784
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Visaranai
Visaranai is a critically acclaimed Tamil-language crime drama film known for its gritty, realistic portrayal of police brutality and corruption, directed by Vetrimaaran.
|
E742949
|
NE FINISHED |
How this triple was built (4 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: Visaranai | Statement: [Vetrimaaran, notableWork, Visaranai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Visaranai Context triple: [Vetrimaaran, notableWork, Visaranai]
-
A.
Veeragase
Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
-
B.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
C.
Mirani
Mirani is a small rural town and locality in Queensland, Australia, known for its sugarcane farming and proximity to the Pioneer Valley.
-
D.
Mirani
Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
-
E.
Maheshtala
Maheshtala is a suburban city near Kolkata in West Bengal, India, known for its rapidly growing residential areas and emerging industrial and commercial development.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Visaranai Triple: [Vetrimaaran, notableWork, Visaranai]
Generated description
Visaranai is a critically acclaimed Tamil-language crime drama film known for its gritty, realistic portrayal of police brutality and corruption, directed by Vetrimaaran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Visaranai Target entity description: Visaranai is a critically acclaimed Tamil-language crime drama film known for its gritty, realistic portrayal of police brutality and corruption, directed by Vetrimaaran.
-
A.
Veeragase
Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
-
B.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
C.
Mirani
Mirani is a small rural town and locality in Queensland, Australia, known for its sugarcane farming and proximity to the Pioneer Valley.
-
D.
Mirani
Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
-
E.
Maheshtala
Maheshtala is a suburban city near Kolkata in West Bengal, India, known for its rapidly growing residential areas and emerging industrial and commercial development.
- F. None of above. chosen
Provenance (5 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d2331881909d92ddde90f580e9 |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89677888819091dfda14ce6baef3 |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8c10d774819086437ffeeb1ef25d |
completed | April 2, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8d0064fc819095058293e4229f25 |
completed | April 2, 2026, 3:36 p.m. |
Created at: March 30, 2026, 6:20 p.m.