Triple
T21944080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haider |
E541891
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Vikram Mehra
Vikram Mehra is an Indian film producer best known for his work on the critically acclaimed Bollywood film "Haider."
|
E1514815
|
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: Vikram Mehra | Statement: [Haider, producer, Vikram Mehra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vikram Mehra Context triple: [Haider, producer, Vikram Mehra]
-
A.
Vikram Kumar
Vikram Kumar is an Indian film director and screenwriter known for his work in Tamil and Telugu cinema, including acclaimed films like "24" and "Manam."
-
B.
Rajeev Samant
Rajeev Samant is an Indian entrepreneur best known as the pioneering founder of Sula Vineyards, one of India’s largest and most influential wine producers.
-
C.
Manish Dayal
Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
-
D.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
E.
Ravi Bhalla
Ravi Bhalla is an American attorney and politician who became the first Sikh mayor of Hoboken, New Jersey, and one of the first turbaned Sikh mayors 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: Vikram Mehra Triple: [Haider, producer, Vikram Mehra]
Generated description
Vikram Mehra is an Indian film producer best known for his work on the critically acclaimed Bollywood film "Haider."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vikram Mehra Target entity description: Vikram Mehra is an Indian film producer best known for his work on the critically acclaimed Bollywood film "Haider."
-
A.
Vikram Kumar
Vikram Kumar is an Indian film director and screenwriter known for his work in Tamil and Telugu cinema, including acclaimed films like "24" and "Manam."
-
B.
Rajeev Samant
Rajeev Samant is an Indian entrepreneur best known as the pioneering founder of Sula Vineyards, one of India’s largest and most influential wine producers.
-
C.
Manish Dayal
Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
-
D.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
E.
Ravi Bhalla
Ravi Bhalla is an American attorney and politician who became the first Sikh mayor of Hoboken, New Jersey, and one of the first turbaned Sikh mayors 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242515ec8190b015bf8c7b13be85 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b5abc5c8190b5ba2c4352289bb0 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c35f92081909d83acfaa927d52f |
completed | May 18, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7c9887ec81908638c72bbfca1580 |
completed | May 18, 2026, 2:42 a.m. |
Created at: April 16, 2026, 7:56 p.m.