Triple

T11694863
Position Surface form Disambiguated ID Type / Status
Subject Noa Netanyahu E277966 entity
Predicate name P16 FINISHED
Object Noa Netanyahu E277966 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: Noa Netanyahu | Statement: [Noa Netanyahu, name, Noa Netanyahu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noa Netanyahu
Context triple: [Noa Netanyahu, name, Noa Netanyahu]
  • A. Noa Netanyahu chosen
    Noa Netanyahu is the daughter of Israeli Prime Minister Benjamin Netanyahu.
  • B. Yonatan Netanyahu
    Yonatan Netanyahu was an Israeli military officer best known for commanding and being the sole Israeli soldier killed in the 1976 Entebbe hostage-rescue operation.
  • C. Iddo Netanyahu
    Iddo Netanyahu is an Israeli radiologist, playwright, and author known for his literary and theatrical works, and as the younger brother of Prime Minister Benjamin Netanyahu.
  • D. Elisha Netanyahu
    Elisha Netanyahu was an Israeli mathematician known for his work in complex analysis and for mentoring prominent students, including computer scientist Amir Pnueli.
  • E. Avner Netanyahu
    Avner Netanyahu is the younger son of Israeli Prime Minister Benjamin Netanyahu and his wife Sara Netanyahu.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47b9eb48190976a35e91e25b56b completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f631efb4819096ad6ee0c87fa7a7 completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:40 p.m.