Triple

T21608479
Position Surface form Disambiguated ID Type / Status
Subject Hylaea E533237 entity
Predicate member P10 FINISHED
Object Benedikt Livshits 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: Benedikt Livshits | Statement: [Hylaea, member, Benedikt Livshits]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benedikt Livshits
Context triple: [Hylaea, member, Benedikt Livshits]
  • A. Benedikt Livshits chosen
    Benedikt Livshits was a Russian Futurist poet, translator, and memoirist closely associated with the early 20th-century avant-garde literary movement.
  • B. Yuri Levitansky
    Yuri Levitansky was a prominent Soviet and Russian poet known for his introspective, philosophical verse and his nuanced reflections on war and the human condition.
  • C. Evgeny Levinson
    Evgeny Levinson was a Soviet architect known for designing significant memorial and monumental complexes, particularly in Leningrad (now Saint Petersburg).
  • D. Alec Miloslavsky
    Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
  • E. Andrei Marmor
    Andrei Marmor is a legal philosopher known for his influential work on the nature of law, interpretation, and the philosophy of language.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e7005c81908cfa86358b8dbef1 completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.