Triple

T22481443
Position Surface form Disambiguated ID Type / Status
Subject Tuzenbach E555773 entity
Predicate conflictWith P4897 FINISHED
Object Solony 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: Solony | Statement: [Tuzenbach, conflictWith, Solony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solony
Context triple: [Tuzenbach, conflictWith, Solony]
  • A. Solony chosen
    Solony is a character in Anton Chekhov’s play "Three Sisters," a somewhat eccentric and melancholic army officer who forms part of the drama’s complex web of unrequited affections and philosophical conversations.
  • B. Scicolone
    Scicolone is the birth surname of Italian actress Sophia Loren, reflecting her family name before she adopted her famous stage name.
  • C. Ulitsa Kominterna
    Ulitsa Kominterna was a former name of Moscow’s Aleksandrovsky Sad metro station, located near the Kremlin and the Alexander Garden.
  • D. Seresin
    Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
  • E. Huslia
    Huslia is a small, predominantly Koyukon Athabascan village in interior Alaska known for its subsistence lifestyle and dog mushing heritage.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c397b248190b36c2fbfa6489693 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.