Triple

T1499720
Position Surface form Disambiguated ID Type / Status
Subject Mobileye E29767 entity
Predicate hasFounder P104 FINISHED
Object Ziv Aviram E182196 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: Ziv Aviram | Statement: [Mobileye, hasFounder, Ziv Aviram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ziv Aviram
Context triple: [Mobileye, hasFounder, Ziv Aviram]
  • A. Ziv Aviram chosen
    Ziv Aviram is an Israeli entrepreneur and co-founder of Mobileye, known for pioneering advanced driver-assistance and autonomous driving technologies.
  • B. Amnon Yariv
    Amnon Yariv is an Israeli-American physicist and electrical engineer renowned for his pioneering contributions to lasers, optoelectronics, and photonics theory.
  • C. Shimon Even
    Shimon Even was an influential Israeli computer scientist known for his foundational contributions to graph algorithms and computational complexity theory.
  • D. Eliyahu Sasson
    Eliyahu Sasson was an Israeli politician and diplomat who played a significant role in the early political institutions of the State of Israel.
  • E. Yosef Sprinzak
    Yosef Sprinzak was an Israeli politician and Zionist leader who became the first Speaker of the Knesset and a key figure in the early governance of the State of Israel.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6f0ce988190aafab4a6e0dfd710 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad58b487c08190bb2b1c259bd39db0 completed March 8, 2026, 11:08 a.m.
Created at: March 1, 2026, 8:12 p.m.