Triple
T15676550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Dutta |
E377457
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dutta
Dutta is an Indian surname notably borne by former Miss Universe and Bollywood actress Lara Dutta.
|
E75076
|
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: Dutta | Statement: [Lara Dutta, familyName, Dutta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dutta Context triple: [Lara Dutta, familyName, Dutta]
-
A.
Mithun Chakraborty
Mithun Chakraborty is a renowned Indian actor and former Bollywood superstar known for his versatile performances across Hindi and Bengali cinema, as well as his iconic dancing style.
-
B.
Trishanjit Chatterjee
Trishanjit Chatterjee is known as the son of prominent Indian Bengali film actor Prosenjit Chatterjee.
-
C.
Ullaskar Dutta
Ullaskar Dutta was an Indian revolutionary associated with the early militant nationalist movement against British rule, known for his involvement in bomb-making activities and imprisonment in the Cellular Jail.
-
D.
Soma Basu
Soma Basu is an Indian journalist and writer known for her investigative reporting and socially engaged commentary.
-
E.
Biswajit Chatterjee
Biswajit Chatterjee is an Indian actor and filmmaker known for his work in Bengali and Hindi cinema, particularly from the 1960s and 1970s.
- 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: Dutta Triple: [Lara Dutta, familyName, Dutta]
Generated description
Dutta is an Indian surname notably borne by former Miss Universe and Bollywood actress Lara Dutta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dutta Target entity description: Dutta is an Indian surname notably borne by former Miss Universe and Bollywood actress Lara Dutta.
-
A.
Mithun Chakraborty
Mithun Chakraborty is a renowned Indian actor and former Bollywood superstar known for his versatile performances across Hindi and Bengali cinema, as well as his iconic dancing style.
-
B.
Trishanjit Chatterjee
Trishanjit Chatterjee is known as the son of prominent Indian Bengali film actor Prosenjit Chatterjee.
-
C.
Ullaskar Dutta
chosen
Ullaskar Dutta was an Indian revolutionary associated with the early militant nationalist movement against British rule, known for his involvement in bomb-making activities and imprisonment in the Cellular Jail.
-
D.
Soma Basu
Soma Basu is an Indian journalist and writer known for her investigative reporting and socially engaged commentary.
-
E.
Biswajit Chatterjee
Biswajit Chatterjee is an Indian actor and filmmaker known for his work in Bengali and Hindi cinema, particularly from the 1960s and 1970s.
- F. None of above.
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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2e10a4819097eba1ea31e36ac2 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee0446881909e9c2504d51d49a3 |
completed | May 9, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69ff6fb61144819085460226d406161d |
completed | May 9, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff705b1ea08190bf08b99c19715e57 |
completed | May 9, 2026, 5:35 p.m. |
Created at: April 10, 2026, 4:16 a.m.