Triple
T8940766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paruthiveeran |
E212893
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Studio Green
Studio Green is an Indian film production and distribution company known for producing successful Tamil-language movies.
|
E768518
|
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 Green | Statement: [Paruthiveeran, productionCompany, Studio Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Studio Green Context triple: [Paruthiveeran, productionCompany, Studio Green]
-
A.
Studio 9
Studio 9 is one of the television production studios located within the BBC Television Centre complex in London.
-
B.
Studio B
Studio B is one of the professional recording rooms within NRG Recording Studios, used for high-quality music production and audio recording.
-
C.
Studio B
Studio B is one of the professional recording rooms within Electrical Audio, a renowned Chicago-based recording studio complex founded by Steve Albini.
-
D.
Studio B
Studio B is a recording and production room within Fantasy Studios, a renowned professional studio complex used for music, film, and other audio projects.
-
E.
Studio VIII
Studio VIII is a Cubist painting by French artist Georges Braque, exemplifying his mature exploration of fragmented studio interiors and complex spatial structures.
- 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 Green Triple: [Paruthiveeran, productionCompany, Studio Green]
Generated description
Studio Green is an Indian film production and distribution company known for producing successful Tamil-language movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Studio Green Target entity description: Studio Green is an Indian film production and distribution company known for producing successful Tamil-language movies.
-
A.
Studio 9
Studio 9 is one of the television production studios located within the BBC Television Centre complex in London.
-
B.
Studio B
Studio B is one of the professional recording rooms within NRG Recording Studios, used for high-quality music production and audio recording.
-
C.
Studio B
Studio B is one of the professional recording rooms within Electrical Audio, a renowned Chicago-based recording studio complex founded by Steve Albini.
-
D.
Studio B
Studio B is a recording and production room within Fantasy Studios, a renowned professional studio complex used for music, film, and other audio projects.
-
E.
Studio VIII
Studio VIII is a Cubist painting by French artist Georges Braque, exemplifying his mature exploration of fragmented studio interiors and complex spatial structures.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b8b37c8190bce6e049de8cf732 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1efdea881908b2c264d1c39c6ec |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc2d295c48190952486e6f44cd74f |
completed | April 3, 2026, 1:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc722921881908978147e4cc6875c |
completed | April 3, 2026, 1:56 p.m. |
Created at: March 30, 2026, 6:58 p.m.