Triple
T20237555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suchitra Sen |
E498190
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Saat Pake Bandha |
—
|
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: Saat Pake Bandha | Statement: [Suchitra Sen, notableWork, Saat Pake Bandha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saat Pake Bandha Context triple: [Suchitra Sen, notableWork, Saat Pake Bandha]
-
A.
Saat Pake Bandha
chosen
Saat Pake Bandha is a classic Bengali romantic drama film best known for featuring legendary actress Suchitra Sen in one of her most acclaimed roles.
-
B.
Banda-Banda
Banda-Banda is a dialect of the Central Banda language spoken by Banda communities in the Central African region.
-
C.
Sekadau
Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
-
D.
Saheb Bandh
Saheb Bandh is a historic man-made lake and popular recreational spot in Purulia, West Bengal, known for its scenic beauty and role as a local landmark.
-
E.
Pami Dua
Pami Dua is an Indian economist and academic known for her contributions to econometrics and macroeconomic policy research, and for her leadership roles at the Delhi School of Economics.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716b4c148190bf663b8a747fbfa5 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.