Triple
T10468697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sense8 |
E246868
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Studio JMS
Studio JMS is a production company founded by writer-producer J. Michael Straczynski, known for its work on the science fiction series Sense8.
|
E865457
|
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 JMS | Statement: [Sense8, productionCompany, Studio JMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Studio JMS Context triple: [Sense8, productionCompany, Studio JMS]
-
A.
Studio SOI
Studio SOI is a German animation studio known for its high-quality, stylized work on international television series and films.
-
B.
Studio 37
Studio 37 is a French film and television production company known for backing a range of contemporary European cinematic projects.
-
C.
Studio Moretti
Studio Moretti is an architectural firm established by renowned Italian architect Luigi Moretti, known for its innovative and modernist design work.
-
D.
Studio Gau
Studio Gau is an architectural firm best known for designing major sports venues, including the Allianz Stadium in Turin, Italy.
-
E.
Studio Grangel
Studio Grangel is a Japanese animation studio known for contributing a unique visual style to the anthology series Star Wars: Visions.
- 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 JMS Triple: [Sense8, productionCompany, Studio JMS]
Generated description
Studio JMS is a production company founded by writer-producer J. Michael Straczynski, known for its work on the science fiction series Sense8.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Studio JMS Target entity description: Studio JMS is a production company founded by writer-producer J. Michael Straczynski, known for its work on the science fiction series Sense8.
-
A.
Studio SOI
Studio SOI is a German animation studio known for its high-quality, stylized work on international television series and films.
-
B.
Studio 37
Studio 37 is a French film and television production company known for backing a range of contemporary European cinematic projects.
-
C.
Studio Moretti
Studio Moretti is an architectural firm established by renowned Italian architect Luigi Moretti, known for its innovative and modernist design work.
-
D.
Studio Gau
Studio Gau is an architectural firm best known for designing major sports venues, including the Allianz Stadium in Turin, Italy.
-
E.
Studio Grangel
Studio Grangel is a Japanese animation studio known for contributing a unique visual style to the anthology series Star Wars: Visions.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ff1cd948190a1ef331fb810bf26 |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a2b0d8c88190a1a64bd2bbacabbe |
completed | April 10, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a6560ddc81909d540f78a9413b3e |
completed | April 10, 2026, 7:27 a.m. |
Created at: April 6, 2026, 12:20 p.m.