Triple
T20417463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dil Vil Pyar Vyar |
E500749
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Sanjay Verma
Sanjay Verma is a film editor known for his work on the Hindi movie "Dil Vil Pyar Vyar."
|
E1436677
|
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: Sanjay Verma | Statement: [Dil Vil Pyar Vyar, editedBy, Sanjay Verma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanjay Verma Context triple: [Dil Vil Pyar Vyar, editedBy, Sanjay Verma]
-
A.
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
-
B.
Virendra Sharma
Virendra Sharma is a British Labour Party politician who has served as the Member of Parliament for the London constituency of Ealing Southall.
-
C.
Sunil Jakhar
Sunil Jakhar is an Indian politician from Punjab who has served as a Member of Parliament and held prominent roles in state and national politics.
-
D.
Ajit Manocha
Ajit Manocha is a semiconductor industry executive and technologist known for his leadership roles at major chip manufacturing companies and his contributions to advancing global semiconductor innovation and collaboration.
-
E.
Sunil Gulati
Sunil Gulati is an American soccer executive best known for serving as president of the U.S. Soccer Federation and playing a key role in the growth and governance of the sport in the United States.
- 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: Sanjay Verma Triple: [Dil Vil Pyar Vyar, editedBy, Sanjay Verma]
Generated description
Sanjay Verma is a film editor known for his work on the Hindi movie "Dil Vil Pyar Vyar."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanjay Verma Target entity description: Sanjay Verma is a film editor known for his work on the Hindi movie "Dil Vil Pyar Vyar."
-
A.
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
-
B.
Virendra Sharma
Virendra Sharma is a British Labour Party politician who has served as the Member of Parliament for the London constituency of Ealing Southall.
-
C.
Sunil Jakhar
Sunil Jakhar is an Indian politician from Punjab who has served as a Member of Parliament and held prominent roles in state and national politics.
-
D.
Ajit Manocha
Ajit Manocha is a semiconductor industry executive and technologist known for his leadership roles at major chip manufacturing companies and his contributions to advancing global semiconductor innovation and collaboration.
-
E.
Sunil Gulati
Sunil Gulati is an American soccer executive best known for serving as president of the U.S. Soccer Federation and playing a key role in the growth and governance of the sport in the United States.
- 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_6a08a551c6d0819097d11c928c505e58 |
completed | May 16, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_6a08a6526fac81909c85dd3328722cec |
completed | May 16, 2026, 5:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a6b8a6e081909cb691d71a1b2370 |
completed | May 16, 2026, 5:17 p.m. |
Created at: April 16, 2026, 11:30 a.m.