Triple
T10353950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamal Malik |
E243949
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Tanay Chheda
Tanay Chheda is an Indian actor best known for playing the teenage version of Jamal Malik in the Academy Award–winning film "Slumdog Millionaire."
|
E859280
|
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: Tanay Chheda | Statement: [Jamal Malik, portrayedBy, Tanay Chheda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanay Chheda Context triple: [Jamal Malik, portrayedBy, Tanay Chheda]
-
A.
Asheem Chandna
Asheem Chandna is a prominent venture capitalist known for investing in and advising leading enterprise technology and cybersecurity startups.
-
B.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
-
C.
Yogesh Chandrahasan
Yogesh Chandrahasan is an Indian architect best known for designing the National War Memorial in New Delhi.
-
D.
Ganga Asnan
Ganga Asnan is a Hindu religious festival observed by Indo-Mauritians that centers on ritual bathing in sacred waters to honor the river goddess Ganga and seek spiritual purification.
-
E.
Zaab Sethna
Zaab Sethna is a public relations and communications professional best known as the husband of actress Gina Bellman.
- 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: Tanay Chheda Triple: [Jamal Malik, portrayedBy, Tanay Chheda]
Generated description
Tanay Chheda is an Indian actor best known for playing the teenage version of Jamal Malik in the Academy Award–winning film "Slumdog Millionaire."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanay Chheda Target entity description: Tanay Chheda is an Indian actor best known for playing the teenage version of Jamal Malik in the Academy Award–winning film "Slumdog Millionaire."
-
A.
Asheem Chandna
Asheem Chandna is a prominent venture capitalist known for investing in and advising leading enterprise technology and cybersecurity startups.
-
B.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
-
C.
Yogesh Chandrahasan
Yogesh Chandrahasan is an Indian architect best known for designing the National War Memorial in New Delhi.
-
D.
Ganga Asnan
Ganga Asnan is a Hindu religious festival observed by Indo-Mauritians that centers on ritual bathing in sacred waters to honor the river goddess Ganga and seek spiritual purification.
-
E.
Zaab Sethna
Zaab Sethna is a public relations and communications professional best known as the husband of actress Gina Bellman.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e952c878819084e5d7a593a3f9e9 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7951e65948190a25e559ba94be3c7 |
completed | April 9, 2026, 12:01 p.m. |
| NEDg | Description generation | batch_69d7975191ac8190b32eb6cc1f5c88aa |
completed | April 9, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d798655c7c8190a5da5ef976102285 |
completed | April 9, 2026, 12:15 p.m. |
Created at: April 6, 2026, 11:58 a.m.