Triple
T7289564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Side to Side |
E163956
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Ilya Salmanzadeh |
E340524
|
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: Ilya Salmanzadeh | Statement: [Side to Side, writer, Ilya Salmanzadeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilya Salmanzadeh Context triple: [Side to Side, writer, 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.
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.
-
C.
Darius Alizadeh
Darius Alizadeh is a character appearing in the James Bond continuation novel "Devil May Care" by Sebastian Faulks.
-
D.
Shay Shariatzadeh
Shay Shariatzadeh is a Canadian engineer and product manager best known for being married to professional wrestler and actor John Cena.
-
E.
Mehdi Hatamian
Mehdi Hatamian is an electrical engineer and technologist recognized for his influential contributions to high-speed integrated circuits and signal processing, for which he has received major industry honors.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802aa1c608190a58e7be2c12fcf7e |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 3 p.m.