Triple

T2651549
Position Surface form Disambiguated ID Type / Status
Subject Layer Cake E53909 entity
Predicate musicBy P1952 FINISHED
Object Ilan Eshkeri E126637 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: Ilan Eshkeri | Statement: [Layer Cake, musicBy, Ilan Eshkeri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilan Eshkeri
Context triple: [Layer Cake, musicBy, Ilan Eshkeri]
  • A. Ilan Eshkeri chosen
    Ilan Eshkeri is a British composer known for his orchestral film scores and collaborations on movies, television, and video games.
  • B. Doron Peled
    Doron Peled is a computer scientist known for his contributions to formal methods and model checking, particularly in collaboration with Edmund M. Clarke.
  • C. Yoav Nir
    Yoav Nir is a computer scientist and cryptography expert known for his work on internet security standards, including co-authoring RFC 7539 on the ChaCha20 and Poly1305 encryption algorithms.
  • D. Dov Karmi
    Dov Karmi was a prominent Israeli architect known for helping shape the modernist architectural landscape of Tel Aviv and other parts of Israel in the mid-20th century.
  • E. Roni Ashuri
    Roni Ashuri is an entrepreneur and technology executive best known as a founder of the Israeli high-performance networking company Mellanox Technologies.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd93071248190820197936e3167f7 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa052c91c8190abfd49dbc62a4448 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:53 p.m.