Triple
T22912887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facelift |
E568650
|
entity |
| Predicate | recordedAt |
P7677
|
FINISHED |
| Object | Sunset Sound |
—
|
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: Sunset Sound | Statement: [Facelift, recordedAt, Sunset Sound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunset Sound Context triple: [Facelift, recordedAt, Sunset Sound]
-
A.
Sunset Sound
chosen
Sunset Sound is a legendary Los Angeles recording studio renowned for hosting sessions by major artists across rock, pop, and film soundtracks since the 1960s.
-
B.
Daybrook
Daybrook is a suburban area in Nottinghamshire, England, forming part of the greater Arnold urban region.
-
C.
Sunset
"Sunset" is a 1926 short story by Russian writer Isaac Babel, known for its vivid portrayal of Jewish life in Odessa and its exploration of family conflict and moral ambiguity.
-
D.
Sunset
Sunset is a small city in Davis County, Utah, known primarily as a suburban community within the Ogden–Clearfield metropolitan area.
-
E.
Sunset
Sunset is a culturally diverse residential neighbourhood in South Vancouver known for its vibrant community, local shops, and proximity to the Fraser River.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18075a0048190bd150e2badeeb7c2 |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.