Triple
T17535550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinzia Arruzza |
E427049
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Tithi Bhattacharya |
—
|
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: Tithi Bhattacharya | Statement: [Cinzia Arruzza, coAuthorWith, Tithi Bhattacharya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tithi Bhattacharya Context triple: [Cinzia Arruzza, coAuthorWith, Tithi Bhattacharya]
-
A.
Tithi Bhattacharya
chosen
Tithi Bhattacharya is a Marxist feminist scholar and activist best known for her work on social reproduction theory and for co-editing the influential book "Feminism for the 99%: A Manifesto."
-
B.
Swatilekha Chatterjee
Swatilekha Chatterjee was an acclaimed Indian stage and film actress best known for her powerful performance in Satyajit Ray’s classic film "Ghare Baire."
-
C.
Sutapa Sikdar
Sutapa Sikdar is an Indian dialogue and screenplay writer best known as the wife of acclaimed actor Irrfan Khan.
-
D.
Sutapa Dasgupta
Sutapa Dasgupta is known as the wife of acclaimed Indian poet and National Award–winning filmmaker Buddhadeb Dasgupta.
-
E.
Sutapa Basu
Sutapa Basu is an Indian author and poet known for her historical fiction and contemporary novels.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536b8d6c8190906314708001a830 |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.