Triple
T9896859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziv Aviram |
E182196
|
entity |
| Predicate | coFounderWith |
P2835
|
FINISHED |
| Object | Amnon Shashua |
E172886
|
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: Amnon Shashua | Statement: [Ziv Aviram, coFounderWith, Amnon Shashua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amnon Shashua Context triple: [Ziv Aviram, coFounderWith, Amnon Shashua]
-
A.
Amnon Shashua
chosen
Amnon Shashua is an Israeli computer scientist and entrepreneur best known as the co-founder and CEO of Mobileye, a leading company in advanced driver-assistance and autonomous driving technologies.
-
B.
Oded Maler
Oded Maler is a computer scientist known for his contributions to formal verification, hybrid systems, and real-time systems theory.
-
C.
Yehuda Efroni
Yehuda Efroni was an Israeli actor known for his work in film, television, and theater.
-
D.
Menahem Golan
Menahem Golan was an Israeli film producer and director best known for co-founding Cannon Films and producing numerous action and genre movies in the 1980s.
-
E.
Arnon Grunberg
Arnon Grunberg is a Dutch novelist, essayist, and columnist known for his darkly comic, psychologically incisive works that explore themes of identity, war, and human vulnerability.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4ab15f881909f75a8e01051dbc4 |
completed | April 2, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d92624c81909f5a8af8703ead09 |
completed | April 5, 2026, 7:21 a.m. |
Created at: March 30, 2026, 8:40 p.m.