Triple
T21873082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time and a Word |
E540056
|
entity |
| Predicate | recordedAt |
P7677
|
FINISHED |
| Object | Trident Studios |
—
|
NE NERFINISHED |
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: Trident Studios | Statement: [Time and a Word, recordedAt, Trident Studios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trident Studios Context triple: [Time and a Word, recordedAt, Trident Studios]
-
A.
Trident Studios
chosen
Trident Studios was a renowned London recording studio famous for hosting major rock and pop artists in the late 1960s and 1970s.
-
B.
Trilith Studios
Trilith Studios is a major film and television production complex in Georgia known for hosting large-scale projects, including many Marvel Cinematic Universe movies.
-
C.
Scorpio Studios
Scorpio Studios was a London-based recording studio known for hosting sessions by prominent rock bands in the 1970s.
-
D.
Tigon Studios
Tigon Studios is a video game development company best known for creating games based on Vin Diesel’s film properties and characters.
-
E.
Skyline Studios
Skyline Studios is a professional recording studio known for hosting music production and album recording sessions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f337ab5c8190937a457d348c732b |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:01 p.m.