Triple
T6314971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunidhi Chauhan |
E141592
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Hitesh Sonik
Hitesh Sonik is an Indian music composer and producer known for his work in film and television music.
|
E583908
|
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: Hitesh Sonik | Statement: [Sunidhi Chauhan, spouse, Hitesh Sonik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitesh Sonik Context triple: [Sunidhi Chauhan, spouse, Hitesh Sonik]
-
A.
Sachit Mehra
Sachit Mehra is a Canadian political figure who serves in a top leadership role within the Liberal Party of Canada.
-
B.
Yogesh Singh
Yogesh Singh is an Indian academic and administrator who serves as the Vice-Chancellor of the University of Delhi.
-
C.
Nish Kumar
Nish Kumar is a British stand-up comedian, actor, and radio presenter known for his sharp political satire and appearances on various UK comedy shows.
-
D.
Suraj Sharma
Suraj Sharma is an Indian actor best known for his breakout performance as the shipwrecked teenager Pi Patel in Ang Lee’s acclaimed film "Life of Pi."
-
E.
Rajeev Suri
Rajeev Suri is an Indian business executive best known for serving as the CEO of Nokia and later Inmarsat, leading major transformations in the global telecommunications industry.
- 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: Hitesh Sonik Triple: [Sunidhi Chauhan, spouse, Hitesh Sonik]
Generated description
Hitesh Sonik is an Indian music composer and producer known for his work in film and television music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hitesh Sonik Target entity description: Hitesh Sonik is an Indian music composer and producer known for his work in film and television music.
-
A.
Sachit Mehra
Sachit Mehra is a Canadian political figure who serves in a top leadership role within the Liberal Party of Canada.
-
B.
Yogesh Singh
Yogesh Singh is an Indian academic and administrator who serves as the Vice-Chancellor of the University of Delhi.
-
C.
Nish Kumar
Nish Kumar is a British stand-up comedian, actor, and radio presenter known for his sharp political satire and appearances on various UK comedy shows.
-
D.
Suraj Sharma
Suraj Sharma is an Indian actor best known for his breakout performance as the shipwrecked teenager Pi Patel in Ang Lee’s acclaimed film "Life of Pi."
-
E.
Rajeev Suri
Rajeev Suri is an Indian business executive best known for serving as the CEO of Nokia and later Inmarsat, leading major transformations in the global telecommunications industry.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a197488190946c4637b3c829a5 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e46feeec8190bdb39a48c92bacf1 |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5ee04b2388190b36dc9bb23b4a18a |
completed | March 27, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5ee780bb08190a97c90804f9c6b68 |
completed | March 27, 2026, 2:42 a.m. |
Created at: March 22, 2026, 4:28 p.m.