Triple
T18614239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Goes |
E454975
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ilya Salmanzadeh |
—
|
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: Ilya Salmanzadeh | Statement: [Love Goes, producer, Ilya Salmanzadeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilya Salmanzadeh Context triple: [Love Goes, producer, Ilya Salmanzadeh]
-
A.
Ilya Salmanzadeh
chosen
Ilya Salmanzadeh, known professionally as ILYA, is a Swedish-Iranian songwriter and record producer recognized for his work on major pop hits with artists like Ariana Grande.
-
B.
Ilya Hoffman
Ilya Hoffman is an American businessman known for being married to Christiana Barkley, the daughter of NBA Hall of Famer Charles Barkley.
-
C.
David Arakhamia
David Arakhamia is a Ukrainian politician and businessman best known as a leading figure in President Volodymyr Zelenskyy's political party, Servant of the People.
-
D.
Ramin Kousha
Ramin Kousha is a film composer best known for scoring the cult disaster movie "Sharknado."
-
E.
Younes Nazarian
Younes Nazarian was an Iranian-American businessman, philanthropist, and major benefactor of educational and cultural institutions in the United States and Israel.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d03feb88190bbd8889273d82f7f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.