Triple

T16271866
Position Surface form Disambiguated ID Type / Status
Subject Princess Nadezhda of Bulgaria E395018 entity
Predicate givenName P17 FINISHED
Object Nadezhda E153186 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: Nadezhda | Statement: [Princess Nadezhda of Bulgaria, givenName, Nadezhda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nadezhda
Context triple: [Princess Nadezhda of Bulgaria, givenName, Nadezhda]
  • A. Nadezhda chosen
    Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
  • B. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • C. Nadezhda Orenburg
    Nadezhda Orenburg is a professional women's basketball club based in Orenburg, Russia, that competes in top domestic and European competitions.
  • D. Kamarinskaya
    Kamarinskaya is an 1848 orchestral work by Mikhail Glinka, often regarded as a pioneering piece in Russian symphonic music for its use of folk themes.
  • E. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460a4f7c8190a614c11f7eaa0a7a completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017bf09888190b3d90db3517a2f1e completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.