Triple

T19096202
Position Surface form Disambiguated ID Type / Status
Subject Dabrowski E467411 entity
Predicate hasVariantSpelling P457 FINISHED
Object Dombroski 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: Dombroski | Statement: [Dabrowski, hasVariantSpelling, Dombroski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dombroski
Context triple: [Dabrowski, hasVariantSpelling, 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. Burtka
    Burtka is a surname most prominently associated with American actor and chef David Burtka and his family.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e368f20c8190bd84d2ba320991ac completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.