Triple

T12967304
Position Surface form Disambiguated ID Type / Status
Subject Abel Korzeniowski E321294 entity
Predicate familyName P18 FINISHED
Object Korzeniowski E321294 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: Korzeniowski | Statement: [Abel Korzeniowski, familyName, Korzeniowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korzeniowski
Context triple: [Abel Korzeniowski, familyName, Korzeniowski]
  • A. Korzeniowski chosen
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • B. Horsztyński
    "Horsztyński" is a dramatic work by Polish Romantic poet and playwright Juliusz Słowacki, reflecting his characteristic themes of patriotism, inner conflict, and national struggle.
  • C. Ogiński
    Ogiński is the surname of a prominent Polish–Lithuanian noble family best known for composer and statesman Michał Kleofas Ogiński.
  • D. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • E. Wasilewski
    Wasilewski is a Polish surname, typically indicating familial or geographic origin and commonly found in Poland and among the Polish diaspora.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e3f702481908f0f90f4f12d3f4d completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eacea664819096940ba4d409d264 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 8:30 p.m.