Triple

T12052456
Position Surface form Disambiguated ID Type / Status
Subject Dąbrowski E286950 entity
Predicate hasVariant P455 FINISHED
Object Dombrowski E105510 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: Dombrowski | Statement: [Dąbrowski, hasVariant, Dombrowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dombrowski
Context triple: [Dąbrowski, hasVariant, Dombrowski]
  • A. Dombrowski chosen
    Dombrowski is a surname most prominently associated with Dave Dombrowski, a longtime Major League Baseball executive known for leading multiple franchises to pennants and World Series titles.
  • B. Bomowski
    Bomowski is a surname most notably associated with the fictional character Tutty Bomowski.
  • C. Siodmak
    Siodmak is a German surname most notably associated with writer Curt Siodmak and his brother, film director Robert Siodmak, both influential figures in 20th-century cinema.
  • D. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • E. Bischoffen
    Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90423b22081908fba82fbc6b40eb5 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49ddde6548190adae2a889ec5c72b completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.