Triple

T18900577
Position Surface form Disambiguated ID Type / Status
Subject Amnon Niv E462327 entity
Predicate isKnownAs P39 FINISHED
Object Amnon Niv NE NERFINISHED

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 Niv | Statement: [Amnon Niv, isKnownAs, Amnon Niv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amnon Niv
Context triple: [Amnon Niv, isKnownAs, Amnon Niv]
  • A. Amnon Niv chosen
    Amnon Niv is an Israeli architect best known for designing prominent high-rise buildings, including some of the country's most recognizable skyscrapers.
  • B. Amnon Amir
    Amnon Amir is an entrepreneur best known as one of the founders of the Israeli internet company Mirabilis, creator of the ICQ instant messaging service.
  • 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. Oded Kotler
    Oded Kotler is an Israeli actor and theater director known for his prominent roles in film and stage as well as his influential work in Israeli performing arts.
  • E. Ziv Aviram
    Ziv Aviram is an Israeli entrepreneur and co-founder of Mobileye, known for pioneering advanced driver-assistance and autonomous driving technologies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c5289ba48190a6825c4db2e5e48d completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.