Triple

T846918
Position Surface form Disambiguated ID Type / Status
Subject Ze'ev Jabotinsky E18297 entity
Predicate givenName P17 FINISHED
Object Vladimir E56831 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: Vladimir | Statement: [Ze'ev Jabotinsky, givenName, Vladimir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vladimir
Context triple: [Ze'ev Jabotinsky, givenName, Vladimir]
  • A. Vladimir chosen
    Vladimir is a common Russian male given name of Slavic origin, historically associated with rulers and notably borne by Russian president Vladimir Putin.
  • B. Igor of Kiev
    Igor of Kiev was a 10th-century Grand Prince of Kievan Rus', a member of the Rurik dynasty who ruled from Kiev and continued the consolidation of the early East Slavic state.
  • C. Konstantin
    Konstantin is a masculine given name of Latin origin, widely used in Slavic and other European cultures, meaning “steadfast” or “constant.”
  • D. Daniil Aleksandrovich of Moscow
    Daniil Aleksandrovich of Moscow was a medieval Russian prince, the youngest son of Alexander Nevsky, who became the first Prince of Moscow and laid the foundations for its future rise.
  • E. Viktor
    Viktor is the given name of Viktor Frankl, the Austrian neurologist, psychiatrist, and Holocaust survivor who founded logotherapy and wrote "Man’s Search for Meaning."
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac0ba6b4819089c15ed7e1765502 completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2caba8c81908ef693677acbd4cc completed March 7, 2026, 10:12 p.m.
Created at: March 1, 2026, 7:38 p.m.