Triple

T14126013
Position Surface form Disambiguated ID Type / Status
Subject Yulia Meltzer E340034 entity
Predicate givenName P17 FINISHED
Object Yulia E395351 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: Yulia | Statement: [Yulia Meltzer, givenName, Yulia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yulia
Context triple: [Yulia Meltzer, givenName, Yulia]
  • A. Yulia chosen
    Yulia is a feminine given name, commonly used in Slavic countries as a form of the name Julia.
  • B. Evgenia
    Evgenia is a feminine given name commonly used in Slavic and Greek cultures, derived from the Greek name Eugenia meaning "well-born" or "noble."
  • C. Svetlana
    Svetlana is a feminine given name of Slavic origin, most notably borne by Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin.
  • D. Irina
    Irina is a feminine given name commonly used in Slavic and other Eastern European cultures, derived from the Greek name Irene meaning "peace."
  • E. Yulia Solntseva
    Yulia Solntseva was a Soviet film director and actress renowned for her collaborations with Alexander Dovzhenko and for winning the Best Director award at the 1961 Cannes Film Festival.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d043860819099526cbae1b1ef18 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 10:22 p.m.