Triple

T13744262
Position Surface form Disambiguated ID Type / Status
Subject Late Registration E330173 entity
Predicate producer P490 FINISHED
Object Miri Ben-Ari E8563 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: Miri Ben-Ari | Statement: [Late Registration, producer, Miri Ben-Ari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miri Ben-Ari
Context triple: [Late Registration, producer, Miri Ben-Ari]
  • A. Miri Ben-Ari chosen
    Miri Ben-Ari is an Israeli-American violinist, producer, and composer known for blending classical violin with hip-hop and R&B, collaborating with major artists across genres.
  • B. Sarit Kraus
    Sarit Kraus is an Israeli computer scientist known for her influential work in artificial intelligence, multi-agent systems, and human-agent interaction.
  • C. Amir Shinar
    Amir Shinar is an Israeli entrepreneur and software engineer best known as one of the co-founders of the GPS navigation and traffic app Waze.
  • D. Vered Bar-El
    Vered Bar-El is a character featured in the comic book series "The Source."
  • E. Moni Naor
    Moni Naor is an Israeli computer scientist renowned for his foundational contributions to cryptography and theoretical computer science.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de020855ec8190a60fa1cb761f2e68 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8501890819081152bc2e9c06836 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:08 p.m.