Triple

T13928535
Position Surface form Disambiguated ID Type / Status
Subject Shai Agassi E334924 entity
Predicate name P16 FINISHED
Object Shai Agassi E334924 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: Shai Agassi | Statement: [Shai Agassi, name, Shai Agassi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shai Agassi
Context triple: [Shai Agassi, name, Shai Agassi]
  • A. Shai Agassi chosen
    Shai Agassi is an Israeli entrepreneur best known as the founder and former CEO of Better Place, a company that aimed to revolutionize electric vehicle infrastructure.
  • B. Oren Koules
    Oren Koules is an American film and television producer and former hockey executive best known for co-creating and producing the Saw horror franchise.
  • C. Shai Friedman
    Shai Friedman is a person notable enough to be recognized as a bearer of the surname Friedman, though specific widely known public details about them are not provided.
  • D. Tal Berkovich
    Tal Berkovich is an Israeli model and actress known for her work in fashion campaigns and appearances in film and television.
  • E. Jon Rubinstein
    Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
  • 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.