Triple
T21944808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hu Tu Tu |
E541907
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Suhasini Mulay |
—
|
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: Suhasini Mulay | Statement: [Hu Tu Tu, castMember, Suhasini Mulay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suhasini Mulay Context triple: [Hu Tu Tu, castMember, Suhasini Mulay]
-
A.
Suhasini Mulay
chosen
Suhasini Mulay is an Indian actress and documentary filmmaker known for her work in parallel cinema and acclaimed character roles in Hindi and regional films.
-
B.
Uma Maheswari
Uma Maheswari is a Hindu goddess venerated as the consort of Lord Shiva and a local deity associated with the town of Sirkazhi in Tamil Nadu, India.
-
C.
Kalyanee Mulay
Kalyanee Mulay is an Indian actress known for her work in Marathi and Hindi cinema and theatre, including roles in critically acclaimed independent films.
-
D.
Shobha Devi
Shobha Devi was the wife of legendary Indian film actor Ashok Kumar.
-
E.
Leela Naidu
Leela Naidu was an Indian actress and former Miss India known for her acclaimed but selective film work, including notable roles in both Indian and international cinema.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.