Triple
T6649486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allianz Stadium |
E150783
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Studio Gau
Studio Gau is an architectural firm best known for designing major sports venues, including the Allianz Stadium in Turin, Italy.
|
E609716
|
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 Gau | Statement: [Allianz Stadium, architect, Studio Gau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Studio Gau Context triple: [Allianz Stadium, architect, Studio Gau]
-
A.
Studio 37
Studio 37 is a French film and television production company known for backing a range of contemporary European cinematic projects.
-
B.
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.
-
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 one of the professional recording rooms within NRG Recording Studios, used for high-quality music production and audio recording.
-
E.
Studio A
Studio A is a renowned recording room within Capitol Studios in Hollywood, known for its exceptional acoustics and use on countless iconic music sessions.
- 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 Gau Triple: [Allianz Stadium, architect, Studio Gau]
Generated description
Studio Gau is an architectural firm best known for designing major sports venues, including the Allianz Stadium in Turin, Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Studio Gau Target entity description: Studio Gau is an architectural firm best known for designing major sports venues, including the Allianz Stadium in Turin, Italy.
-
A.
Studio 37
Studio 37 is a French film and television production company known for backing a range of contemporary European cinematic projects.
-
B.
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.
-
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 one of the professional recording rooms within NRG Recording Studios, used for high-quality music production and audio recording.
-
E.
Studio A
Studio A is a renowned recording room within Capitol Studios in Hollywood, known for its exceptional acoustics and use on countless iconic music sessions.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b01fea4c8190a21ba7f4c2018c5e |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eef91eb08190a00ae027c21b08bf |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f1ed97248190ab2253b3b2457f4f |
completed | March 27, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f2c18c0081908958b7ffeed7a787 |
completed | March 27, 2026, 9:12 p.m. |
Created at: March 27, 2026, 2:01 p.m.