Triple

T17243416
Position Surface form Disambiguated ID Type / Status
Subject Leoš Janáček E418558 entity
Predicate notableWork P4 FINISHED
Object Taras Bulba E124205 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: Taras Bulba | Statement: [Leoš Janáček, notableWork, Taras Bulba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taras Bulba
Context triple: [Leoš Janáček, notableWork, Taras Bulba]
  • A. Taras Bulba chosen
    Taras Bulba is a historical novella by Nikolai Gogol that portrays the fierce, tragic lives and battles of Ukrainian Cossacks in the 16th–17th centuries.
  • B. Ostap Bulba
    Ostap Bulba is one of the two sons of the Cossack Taras Bulba in Nikolai Gogol’s historical novella, known for his bravery, loyalty, and tragic fate.
  • C. Svyatogor
    Svyatogor was a Russian icebreaker later renamed Krasin, notable for its Arctic exploration and rescue missions in the early 20th century.
  • D. Khovanshchina
    Khovanshchina is an unfinished historical opera by Modest Mussorgsky that portrays the political and religious turmoil in late 17th-century Russia.
  • E. Cossack Host
    The Cossack Host was a semi-autonomous military and social organization of Cossacks that formed the backbone of frontier defense and self-governance in Eastern Europe, particularly in what is now Ukraine and southern Russia.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e21bb5c8190ad960f231fe54665 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f388608190b709b1c228a7ba29 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.