Triple

T12052458
Position Surface form Disambiguated ID Type / Status
Subject Dąbrowski E286950 entity
Predicate hasVariant P455 FINISHED
Object Dombroski 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: Dombroski | Statement: [Dąbrowski, hasVariant, Dombroski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dombroski
Context triple: [Dąbrowski, hasVariant, Dombroski]
  • 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. Kropinski
    Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
  • C. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • D. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • E. Balkhausen
    Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • 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_69f60a62f0fc8190a3d15ccfb23bb788 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:47 p.m.