Triple
T16443171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghajini |
E399357
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object |
Studio 18
Studio 18 is a film distribution company known for releasing major Indian movies such as the psychological thriller "Ghajini."
|
E1212963
|
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: Studio 18 | Statement: [Ghajini, distributor, Studio 18]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Studio 18 Context triple: [Ghajini, distributor, Studio 18]
-
A.
Studio 8
Studio 8 is an American film and television production company known for developing and financing a range of major studio-backed features.
-
B.
Studio 8
Studio 8 is one of the television production studios located within the BBC Television Centre complex in London.
-
C.
Studio 10
Studio 10 is an Australian weekday morning talk and variety show known for its panel discussions, interviews, and lifestyle segments on Network Ten.
-
D.
Studio 5
Studio 5 is one of the main television production studios located within the BBC Television Centre complex in London.
-
E.
Studio 36
Studio 36 is a prominent soundstage within CBS Television City in Los Angeles, used for the production of major television programs.
- 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: Studio 18 Triple: [Ghajini, distributor, Studio 18]
Generated description
Studio 18 is a film distribution company known for releasing major Indian movies such as the psychological thriller "Ghajini."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Studio 18 Target entity description: Studio 18 is a film distribution company known for releasing major Indian movies such as the psychological thriller "Ghajini."
-
A.
Studio 8
Studio 8 is an American film and television production company known for developing and financing a range of major studio-backed features.
-
B.
Studio 8
Studio 8 is one of the television production studios located within the BBC Television Centre complex in London.
-
C.
Studio 10
Studio 10 is an Australian weekday morning talk and variety show known for its panel discussions, interviews, and lifestyle segments on Network Ten.
-
D.
Studio 5
Studio 5 is one of the main television production studios located within the BBC Television Centre complex in London.
-
E.
Studio 36
Studio 36 is a prominent soundstage within CBS Television City in Los Angeles, used for the production of major television programs.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cd8d2988190acb5722a15623319 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458f8f3c8190ad5eff2ad2a32dea |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a00461390608190848c3b896042f1fd |
completed | May 10, 2026, 8:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0046a88e048190baa78506808171b8 |
completed | May 10, 2026, 8:49 a.m. |
Created at: April 10, 2026, 5:10 a.m.