Triple

T12438033
Position Surface form Disambiguated ID Type / Status
Subject Tatiana Nikolayeva E297198 entity
Predicate givenName P17 FINISHED
Object Tatiana E68776 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: Tatiana | Statement: [Tatiana Nikolayeva, givenName, Tatiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tatiana
Context triple: [Tatiana Nikolayeva, givenName, Tatiana]
  • A. Tatyana chosen
    Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
  • B. Наташа
    Наташа — одна из главных героинь пьесы Максима Горького «На дне», олицетворяющая трагическую судьбу бедной и угнетённой женщины в мире социального дна.
  • C. Irina
    Irina is a feminine given name commonly used in Slavic and other Eastern European cultures, derived from the Greek name Irene meaning "peace."
  • D. Tatiana Nikolaevna
    Tatiana Nikolaevna was the second daughter of Tsar Nicholas II of Russia and a Grand Duchess, remembered as one of the last members of the Romanov imperial family before their execution in 1918.
  • E. Anastasia Shubskaya
    Anastasia Shubskaya is a Russian model and film producer best known as the wife of NHL star Alex Ovechkin.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ea3ec588190bca355953267578f completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:55 p.m.