Triple
T20351748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harano Sur |
E496027
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Gita Dey |
—
|
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: Gita Dey | Statement: [Harano Sur, hasCastMember, Gita Dey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gita Dey Context triple: [Harano Sur, hasCastMember, Gita Dey]
-
A.
Gita Dey
chosen
Gita Dey was an Indian Bengali film and theatre actress known for her powerful character roles in classic Bengali cinema.
-
B.
Gita Sen
Gita Sen is an Indian actress known for her frequent collaborations with her husband, acclaimed filmmaker Mrinal Sen, in Bengali parallel cinema.
-
C.
Gita Sen
Gita Sen is an Indian feminist economist and public health expert renowned for her work on gender equality, population policies, and social justice in development.
-
D.
Sonali Bendre
Sonali Bendre is an Indian film actress and former model best known for her work in popular Hindi films of the 1990s and early 2000s.
-
E.
Geeta Dutt
Geeta Dutt was a celebrated Indian playback singer of the 1940s–1960s, renowned for her expressive, melodious voice in Hindi and Bengali film music.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.