Triple
T6335013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainier Fog |
E142469
|
entity |
| Predicate | recordedIn |
P4490
|
FINISHED |
| Object | Studio X, Seattle |
E578037
|
NE FINISHED |
How this triple was built (2 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 X, Seattle | Statement: [Rainier Fog, recordedIn, Studio X, Seattle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Studio X, Seattle Context triple: [Rainier Fog, recordedIn, Studio X, Seattle]
-
A.
Studio X, Seattle
chosen
Studio X in Seattle is a professional recording studio known for hosting sessions by prominent rock and alternative artists.
-
B.
Space Studio, Seattle
Space Studio in Seattle is a professional recording studio known for hosting music projects such as Riot Act.
-
C.
Riverside Studios
Riverside Studios is a renowned arts and entertainment complex in Hammersmith, London, known for its theatre, film, television production, and cultural events.
-
D.
Skyline Studios
Skyline Studios is a professional recording studio known for hosting music production and album recording sessions.
-
E.
Pineapple Street Studios
Pineapple Street Studios is a podcast production company known for creating high-profile, narrative-driven audio series across news, culture, and entertainment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06549084c8190b73fd94c9e0cb302 |
completed | March 22, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d412bc88190aa8ee0a40ec8bc30 |
completed | March 27, 2026, 7:09 a.m. |
Created at: March 22, 2026, 4:30 p.m.