Triple
T17001161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raffaella Rossellini |
E412445
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Sonali Das Gupta |
E407149
|
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: Sonali Das Gupta | Statement: [Raffaella Rossellini, mother, Sonali Das Gupta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonali Das Gupta Context triple: [Raffaella Rossellini, mother, Sonali Das Gupta]
-
A.
Sonali Das Gupta
chosen
Sonali Das Gupta was an Indian woman known primarily for her relationship and later marriage to Italian film director Roberto Rossellini, which drew significant public and media attention in the 1950s.
-
B.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
C.
Deepa Chatterjee
Deepa Chatterjee is best known as the wife of legendary Indian actor Soumitra Chatterjee, a prominent figure in Bengali cinema.
-
D.
Supriya Dasgupta
Supriya Dasgupta is the daughter of acclaimed Indian filmmaker and actress Aparna Sen.
-
E.
Sutapa Dasgupta
Sutapa Dasgupta is known as the wife of acclaimed Indian poet and National Award–winning filmmaker Buddhadeb Dasgupta.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37ec2b48190b4f997899d887ba8 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1e2f708190999f6fab16fdabe8 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.