Triple
T21944489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7 Khoon Maaf |
E541900
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Neil Nitin Mukesh
Neil Nitin Mukesh is an Indian film actor known for his work in Hindi cinema, often portraying intense and complex characters in both mainstream and offbeat films.
|
E1509425
|
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: Neil Nitin Mukesh | Statement: [7 Khoon Maaf, starring, Neil Nitin Mukesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neil Nitin Mukesh Context triple: [7 Khoon Maaf, starring, Neil Nitin Mukesh]
-
A.
Shekhar Suman
Shekhar Suman is an Indian actor, television host, and comedian known for his work in Hindi films and popular TV shows.
-
B.
Shubham Saraf
Shubham Saraf is a British actor known for his role in the TV crime drama "Criminal: UK" and performances across film, television, and theatre.
-
C.
Maine Mendoza
Maine Mendoza is a Filipino actress, television host, and social media personality who rose to fame through her viral Dubsmash videos and her role in the popular "AlDub" love team on the noontime show Eat Bulaga!.
-
D.
Himesh
Himesh is a given name most notably associated with British actor and musician Himesh Patel.
-
E.
Zubeen
Zubeen is a given name, typically used as a variant spelling of the name Zubin.
- 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: Neil Nitin Mukesh Triple: [7 Khoon Maaf, starring, Neil Nitin Mukesh]
Generated description
Neil Nitin Mukesh is an Indian film actor known for his work in Hindi cinema, often portraying intense and complex characters in both mainstream and offbeat films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neil Nitin Mukesh Target entity description: Neil Nitin Mukesh is an Indian film actor known for his work in Hindi cinema, often portraying intense and complex characters in both mainstream and offbeat films.
-
A.
Shekhar Suman
Shekhar Suman is an Indian actor, television host, and comedian known for his work in Hindi films and popular TV shows.
-
B.
Shubham Saraf
Shubham Saraf is a British actor known for his role in the TV crime drama "Criminal: UK" and performances across film, television, and theatre.
-
C.
Maine Mendoza
Maine Mendoza is a Filipino actress, television host, and social media personality who rose to fame through her viral Dubsmash videos and her role in the popular "AlDub" love team on the noontime show Eat Bulaga!.
-
D.
Himesh
Himesh is a given name most notably associated with British actor and musician Himesh Patel.
-
E.
Zubeen
Zubeen is a given name, typically used as a variant spelling of the name Zubin.
- 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_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60f1f49c81909f6c17dad3bd0219 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a6200fb1c81909a4ab05fd368dafc |
completed | May 18, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a626731d8819097b209ae1375ae25 |
completed | May 18, 2026, 12:50 a.m. |
Created at: April 16, 2026, 7:56 p.m.