Triple

T6082186
Position Surface form Disambiguated ID Type / Status
Subject Sergei Yesenin E135549 entity
Predicate name P16 FINISHED
Object Sergei Yesenin E135549 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: Sergei Yesenin | Statement: [Sergei Yesenin, name, Sergei Yesenin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergei Yesenin
Context triple: [Sergei Yesenin, name, Sergei Yesenin]
  • A. Sergei Yesenin chosen
    Sergei Yesenin was a renowned early 20th-century Russian lyric poet known for his evocative depictions of rural life and his turbulent personal history.
  • B. Igor Severyanin
    Igor Severyanin was a prominent Russian poet known for his eccentric, avant-garde verse and leading role in the early 20th-century Futurist movement.
  • C. Marina Tsvetaeva
    Marina Tsvetaeva was a major 20th-century Russian poet known for her intense, emotionally charged verse and complex explorations of love, exile, and identity.
  • D. Osip Mandelstam
    Osip Mandelstam was a major Russian poet and essayist whose modernist, often politically charged work made him one of the most important and persecuted literary figures of the Soviet era.
  • E. Anna Akhmatova
    Anna Akhmatova was a major Russian poet whose emotionally intense and politically charged work made her one of the most important literary figures of the 20th century.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05774bc948190a446b27e83f7079b completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16eb0d7dc8190b0460fe3ceab1abb completed March 23, 2026, 4:47 p.m.
Created at: March 22, 2026, 4:11 p.m.