Triple

T20416075
Position Surface form Disambiguated ID Type / Status
Subject Berowne E500714 entity
Predicate spellingVariant P457 FINISHED
Object Biron 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: Biron | Statement: [Berowne, spellingVariant, Biron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biron
Context triple: [Berowne, spellingVariant, Biron]
  • A. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • B. Tessin
    Tessin is a region in southern Switzerland historically associated with Lepontic inscriptions and early Alpine Celtic culture.
  • C. Peter von Biron chosen
    Peter von Biron was the last Duke of Courland and Semigallia, known for his role in the final years of the duchy's independence before its incorporation into the Russian Empire.
  • D. Frunze
    Frunze is a surname most notably associated with Mikhail Frunze, a prominent Bolshevik leader and Red Army commander during the Russian Civil War.
  • E. Heinrici
    Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4437448190b07b6e6e3de5830f completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.