Triple

T7387652
Position Surface form Disambiguated ID Type / Status
Subject Mobileye Global Inc. E170421 entity
Predicate founder 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 Global Inc., founder, Ziv Aviram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ziv Aviram
Context triple: [Mobileye Global Inc., founder, 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. Uri Tadmor
    Uri Tadmor is a linguist known for his research on Austronesian languages, particularly the Lamaholot language of eastern Indonesia.
  • C. Oren Aviv
    Oren Aviv is an American film executive and producer known for his work on major Hollywood projects, including contributing to the story for the action-adventure film "National Treasure."
  • D. Aharon Katzir
    Aharon Katzir was an Israeli biophysicist and pioneering researcher in the electrochemistry of biopolymers who became one of Israel’s most prominent scientists before his assassination in 1972.
  • E. Yoram Aridor
    Yoram Aridor is an Israeli politician and lawyer best known for serving as Israel’s Minister of Finance in the early 1980s, during a period of significant economic turbulence and controversial fiscal policies.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f2bac481908ac74069182a4ce4 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810ed3a00819088c6eee3d8b8a7e9 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:08 p.m.