Triple
T10213229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kadhalan |
E242380
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Balakumaran |
E751883
|
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: Balakumaran | Statement: [Kadhalan, writer, Balakumaran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balakumaran Context triple: [Kadhalan, writer, Balakumaran]
-
A.
Balakumaran
chosen
Balakumaran was a prominent Indian Tamil author and screenwriter known for his popular novels and contributions to Tamil cinema.
-
B.
Duraimurugan
Duraimurugan is an Indian politician from Tamil Nadu and a senior leader of the Dravida Munnetra Kazhagam (DMK) party.
-
C.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
-
D.
Kothandaramar
Kothandaramar is a revered form of the Hindu god Rama, typically depicted holding a bow and associated with devotion, righteousness, and temple worship in South India.
-
E.
Anandaraj
Anandaraj is an Indian film actor best known for his villainous and character roles in Tamil cinema.
- 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_69d652ea80dc81908bc65ee2ec390467 |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 11:03 a.m.