Triple
T20417419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhankaar Beats |
E500748
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Rahul Bose
Rahul Bose is an Indian actor and director known for his nuanced performances in both mainstream and independent cinema.
|
E1432286
|
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: Rahul Bose | Statement: [Jhankaar Beats, stars, Rahul Bose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahul Bose Context triple: [Jhankaar Beats, stars, Rahul Bose]
-
A.
Rahul Banga
Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
-
B.
Rahul Malhotra
Rahul Malhotra is the responsible and kind-hearted guardian of his late sister’s mischievous children in the Bollywood film "Hum Hain Rahi Pyar Ke."
-
C.
Mohit Chattopadhyay
Mohit Chattopadhyay was a prominent Bengali playwright known for his innovative, often experimental contributions to modern Indian theatre.
-
D.
Ajitesh Bandopadhyay
Ajitesh Bandopadhyay was an Indian actor and theatre personality known for his work in Bengali cinema and stage.
-
E.
Arjun Sengupta
Arjun Sengupta was an Indian economist, diplomat, and politician known for his work on human rights, poverty, and the informal economy, including serving as UN Special Rapporteur on the Right to Development.
- 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: Rahul Bose Triple: [Jhankaar Beats, stars, Rahul Bose]
Generated description
Rahul Bose is an Indian actor and director known for his nuanced performances in both mainstream and independent cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rahul Bose Target entity description: Rahul Bose is an Indian actor and director known for his nuanced performances in both mainstream and independent cinema.
-
A.
Rahul Banga
Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
-
B.
Rahul Malhotra
Rahul Malhotra is the responsible and kind-hearted guardian of his late sister’s mischievous children in the Bollywood film "Hum Hain Rahi Pyar Ke."
-
C.
Mohit Chattopadhyay
Mohit Chattopadhyay was a prominent Bengali playwright known for his innovative, often experimental contributions to modern Indian theatre.
-
D.
Ajitesh Bandopadhyay
Ajitesh Bandopadhyay was an Indian actor and theatre personality known for his work in Bengali cinema and stage.
-
E.
Arjun Sengupta
Arjun Sengupta was an Indian economist, diplomat, and politician known for his work on human rights, poverty, and the informal economy, including serving as UN Special Rapporteur on the Right to Development.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b05b2e4819083bd4f6b0c057b79 |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088b9ad66c81909da34830d291d2ce |
completed | May 16, 2026, 3:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088c028948819087b53192ee5c51c6 |
completed | May 16, 2026, 3:23 p.m. |
Created at: April 16, 2026, 11:30 a.m.