Triple

T20743098
Position Surface form Disambiguated ID Type / Status
Subject Less Than One E510493 entity
Predicate discussesAuthor P56883 FINISHED
Object Anna Akhmatova NE NERFINISHED

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: Anna Akhmatova | Statement: [Less Than One, discussesAuthor, Anna Akhmatova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Akhmatova
Context triple: [Less Than One, discussesAuthor, Anna Akhmatova]
  • A. Anna Akhmatova chosen
    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.
  • B. 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.
  • C. 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.
  • D. Tatyana Fyodorovna Yesenina
    Tatyana Fyodorovna Yesenina was the mother of the renowned Russian poet Sergei Yesenin.
  • E. Sergei Yesenin
    Sergei Yesenin was a renowned early 20th-century Russian lyric poet known for his evocative depictions of rural life and his turbulent personal history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c210a2c08190bd767df3188bb401 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.