Triple
T22012306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black (2005 film) |
E543606
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Monty Sharma
Monty Sharma is an Indian film composer best known for his acclaimed music in Hindi cinema, particularly for the soundtrack of the film "Black."
|
E1531529
|
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: Monty Sharma | Statement: [Black (2005 film), musicBy, Monty Sharma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monty Sharma Context triple: [Black (2005 film), musicBy, Monty Sharma]
-
A.
Bobby Bedi
Bobby Bedi is an Indian film producer known for backing acclaimed and ambitious Hindi films, including historical and socially themed projects.
-
B.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
C.
Neal Mohan
Neal Mohan is an Indian-American technology executive and digital advertising expert who serves as the CEO of YouTube.
-
D.
Deepak Tijori
Deepak Tijori is an Indian actor and filmmaker best known for his supporting roles in popular 1990s Bollywood films.
-
E.
Ravi Kapoor
Ravi Kapoor is a filmmaker and creative professional best known for creating the project "Six Degrees."
- 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: Monty Sharma Triple: [Black (2005 film), musicBy, Monty Sharma]
Generated description
Monty Sharma is an Indian film composer best known for his acclaimed music in Hindi cinema, particularly for the soundtrack of the film "Black."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monty Sharma Target entity description: Monty Sharma is an Indian film composer best known for his acclaimed music in Hindi cinema, particularly for the soundtrack of the film "Black."
-
A.
Bobby Bedi
Bobby Bedi is an Indian film producer known for backing acclaimed and ambitious Hindi films, including historical and socially themed projects.
-
B.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
C.
Neal Mohan
Neal Mohan is an Indian-American technology executive and digital advertising expert who serves as the CEO of YouTube.
-
D.
Deepak Tijori
Deepak Tijori is an Indian actor and filmmaker best known for his supporting roles in popular 1990s Bollywood films.
-
E.
Ravi Kapoor
Ravi Kapoor is a filmmaker and creative professional best known for creating the project "Six Degrees."
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a520bc8190865f525a87255fb2 |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad502fdf4819083f7a3cabb38ac64 |
completed | May 18, 2026, 8:59 a.m. |
| NEDg | Description generation | batch_6a0ad991a1e48190ad240a20694223fc |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ada2a61b881908a636b2d1d6e4509 |
completed | May 18, 2026, 9:21 a.m. |
Created at: April 16, 2026, 8:22 p.m.