Triple
T7122133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charulata |
E165972
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Gitali Roy
Gitali Roy was an Indian actress best known for her role in Satyajit Ray’s acclaimed Bengali film "Charulata."
|
E656267
|
NE FINISHED |
How this triple was built (4 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: Gitali Roy | Statement: [Charulata, castMember, Gitali Roy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gitali Roy Context triple: [Charulata, castMember, Gitali Roy]
-
A.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
B.
Shailen Mukherjee
Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
-
C.
Kanika Banerjee
Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
-
D.
Annet Mahendru
Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
-
E.
Tithi Bhattacharya
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."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gitali Roy Triple: [Charulata, castMember, Gitali Roy]
Generated description
Gitali Roy was an Indian actress best known for her role in Satyajit Ray’s acclaimed Bengali film "Charulata."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gitali Roy Target entity description: Gitali Roy was an Indian actress best known for her role in Satyajit Ray’s acclaimed Bengali film "Charulata."
-
A.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
B.
Shailen Mukherjee
Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
-
C.
Kanika Banerjee
Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
-
D.
Annet Mahendru
Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
-
E.
Tithi Bhattacharya
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."
- F. None of above. chosen
Provenance (5 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6493fd88190b0c066a2ad74917c |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eec29d8c81909d9123b48b195f98 |
completed | March 28, 2026, 3:07 p.m. |
| NEDg | Description generation | batch_69c7ef5b7ce081908702e564f09f2fe1 |
completed | March 28, 2026, 3:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7efb24a488190b53720f521151c61 |
completed | March 28, 2026, 3:11 p.m. |
Created at: March 27, 2026, 2:44 p.m.