Triple
T13928466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uri Sivan |
E334922
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Uri Sivan |
E334922
|
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: Uri Sivan | Statement: [Uri Sivan, name, Uri Sivan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uri Sivan Context triple: [Uri Sivan, name, Uri Sivan]
-
A.
Uri Sivan
chosen
Uri Sivan is an Israeli physicist and academic leader known for his research in nanotechnology and for serving as president of the Technion – Israel Institute of Technology.
-
B.
Roni Ashuri
Roni Ashuri is an entrepreneur and technology executive best known as a founder of the Israeli high-performance networking company Mellanox Technologies.
-
C.
Assi Dayan
Assi Dayan was a prominent Israeli film director, screenwriter, and actor known for his influential work in Israeli cinema and television.
-
D.
Shye Ben Tzur
Shye Ben Tzur is an Israeli composer, singer, and producer known for his fusion of Indian classical, Sufi, and Middle Eastern music, often performed in Hebrew, Urdu, and Hindi.
-
E.
Dov Alfon
Dov Alfon is an Israeli journalist, editor, and author known for his leadership roles in major media outlets and his work in political and cultural commentary.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa900a0819095eeb1bc46b0336e |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce8262288190a7e6dd647b1917c1 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.