Triple
T20410425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Save Me, San Francisco |
E500573
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Espen Lind |
—
|
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: Espen Lind | Statement: [Save Me, San Francisco, producer, Espen Lind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espen Lind Context triple: [Save Me, San Francisco, producer, Espen Lind]
-
A.
Espen Lind
chosen
Espen Lind is a Norwegian singer, songwriter, and producer known for his solo hits and for writing and producing songs for international pop artists.
-
B.
Espen Øino
Espen Øino is a renowned Norwegian naval architect and superyacht designer known for creating some of the world’s largest and most innovative luxury vessels.
-
C.
Espen Olsen
Espen Olsen is a former Norwegian footballer best known for his time as a forward with Hamarkameratene (HamKam).
-
D.
Erlend Øye
Erlend Øye is a Norwegian musician, singer, and songwriter best known as a member of Kings of Convenience and the electronic/pop project The Whitest Boy Alive.
-
E.
Petter Skavlan
Petter Skavlan is a Norwegian screenwriter best known for writing the Oscar-nominated historical adventure film "Kon-Tiki" (2012).
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3ecb348190ae777f6276037828 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.