Triple

T10399287
Position Surface form Disambiguated ID Type / Status
Subject Szczepanik E245101 entity
Predicate hasNotableBearer P458 FINISHED
Object Edward Szczepanik E47834 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: Edward Szczepanik | Statement: [Szczepanik, hasNotableBearer, Edward Szczepanik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Szczepanik
Context triple: [Szczepanik, hasNotableBearer, Edward Szczepanik]
  • A. Edward Szczepanik chosen
    Edward Szczepanik was a Polish economist and politician who served as the last prime minister of the Polish government-in-exile before the restoration of democracy in Poland.
  • B. Edward Lipiński
    Edward Lipiński was a prominent Polish economist and public intellectual known for his contributions to economic theory and his opposition to authoritarianism in 20th-century Poland.
  • C. Jan Zaleski
    Jan Zaleski was a Polish biochemist known for his pioneering research in organic and physiological chemistry in the early 20th century.
  • D. Daniel Olbrychski
    Daniel Olbrychski is a renowned Polish film and theatre actor known for his roles in classic Polish cinema and international productions.
  • E. Alexander Gruszynski
    Alexander Gruszynski is a Polish-born cinematographer and director known for his work on a variety of feature films and television projects.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9d2e8488190b2bb8f8509903804 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbd93b506c8190bbff63903770355a completed April 12, 2026, 5:41 p.m.
Created at: April 6, 2026, 12:07 p.m.