Triple
T20417612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apna Sapna Money Money |
E500752
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | V. T. Vijayan |
—
|
NE NERFINISHED |
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: V. T. Vijayan | Statement: [Apna Sapna Money Money, editor, V. T. Vijayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: V. T. Vijayan Context triple: [Apna Sapna Money Money, editor, V. T. Vijayan]
-
A.
V. T. Vijayan
chosen
V. T. Vijayan is an Indian film editor best known for his acclaimed work in Tamil cinema, including the classic crime drama "Nayakan."
-
B.
Rajam Balachander
Rajam Balachander was the wife of renowned Indian filmmaker K. Balachander and was known for her supportive role in his personal and professional life.
-
C.
R. Sasikumar
R. Sasikumar is a former Singaporean footballer and sports entrepreneur known for his contributions to Singapore football both on and off the field.
-
D.
R. Mahendran
R. Mahendran is an Indian film producer best known for his work on major Tamil cinema projects, including the action thriller "Vikram" (2022).
-
E.
C. V. Mohan
C. V. Mohan is an Indian film producer best known as a co-founder of the prominent Telugu film production company Mythri Movie Makers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
Created at: April 16, 2026, 11:30 a.m.