Triple
T1418275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bengal |
E31965
|
entity |
| Predicate | hasCulturalIcon |
P27550
|
FINISHED |
| Object | Satyajit Ray |
E30576
|
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: Satyajit Ray | Statement: [West Bengal, hasCulturalIcon, Satyajit Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satyajit Ray Context triple: [West Bengal, hasCulturalIcon, Satyajit Ray]
-
A.
Satyajit Ray
chosen
Satyajit Ray was an acclaimed Indian filmmaker, writer, and artist from Bengal, renowned worldwide for his pioneering contributions to cinema and his profound influence on modern Indian culture.
-
B.
Satyajit Sen
Satyajit Sen is an individual notable enough to be recognized as a distinguished bearer of the surname Sen.
-
C.
Mrinal Sen
Mrinal Sen was a renowned Indian film director and a leading figure of parallel cinema, celebrated for his socially and politically charged films.
-
D.
Shyam Benegal
Shyam Benegal is a renowned Indian film director and screenwriter, widely regarded as a pioneer of parallel cinema and known for his socially conscious and critically acclaimed works.
-
E.
Om Puri
Om Puri was a renowned Indian actor celebrated for his powerful performances in both parallel and mainstream cinema, as well as notable roles in international films.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4915bfc8190a631330b7c495b49 |
completed | March 1, 2026, 10:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace5857d6c8190902eecd7bb12cbaf |
completed | March 8, 2026, 2:57 a.m. |
Created at: March 1, 2026, 7:59 p.m.