Triple
T21428379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardish |
E528619
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object |
Mohan Films
Mohan Films is an Indian film distribution company known for handling the release of various Hindi movies.
|
E1484120
|
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: Mohan Films | Statement: [Gardish, distributor, Mohan Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohan Films Context triple: [Gardish, distributor, Mohan Films]
-
A.
Mohan Productions
Mohan Productions is a television production company best known for producing the NBC family sitcom "Lopez vs Lopez."
-
B.
Sahai Films
Sahai Films is an Indian film production company known for producing the cult classic television film "In Which Annie Gives It Those Ones."
-
C.
R. K. Films
R. K. Films is an Indian film production company founded by legendary actor-filmmaker Raj Kapoor, known for producing several classic Hindi movies.
-
D.
Muktha Films
Muktha Films is an Indian film production company best known for producing acclaimed Tamil cinema, including the classic crime drama "Nayakan."
-
E.
Raaj Kamal Films International
Raaj Kamal Films International is an Indian film production company founded by actor-filmmaker Kamal Haasan, known for producing numerous acclaimed Tamil-language movies.
- 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: Mohan Films Triple: [Gardish, distributor, Mohan Films]
Generated description
Mohan Films is an Indian film distribution company known for handling the release of various Hindi movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mohan Films Target entity description: Mohan Films is an Indian film distribution company known for handling the release of various Hindi movies.
-
A.
Mohan Productions
Mohan Productions is a television production company best known for producing the NBC family sitcom "Lopez vs Lopez."
-
B.
Sahai Films
Sahai Films is an Indian film production company known for producing the cult classic television film "In Which Annie Gives It Those Ones."
-
C.
R. K. Films
R. K. Films is an Indian film production company founded by legendary actor-filmmaker Raj Kapoor, known for producing several classic Hindi movies.
-
D.
Muktha Films
Muktha Films is an Indian film production company best known for producing acclaimed Tamil cinema, including the classic crime drama "Nayakan."
-
E.
Raaj Kamal Films International
Raaj Kamal Films International is an Indian film production company founded by actor-filmmaker Kamal Haasan, known for producing numerous acclaimed Tamil-language movies.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3e74bcc81909ad66e3c59152ffc |
completed | April 22, 2026, 11:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c2aa56b081909ddfc07b7b5fd60e |
completed | May 17, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_6a09c3a036408190a759223303268183 |
completed | May 17, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c49aa5b881908ac2e920684a9fa2 |
completed | May 17, 2026, 1:37 p.m. |
Created at: April 16, 2026, 5:49 p.m.