Triple

T6390147
Position Surface form Disambiguated ID Type / Status
Subject Jim Konstanty E143803 entity
Predicate givenName P17 FINISHED
Object Casimir E571585 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: Casimir | Statement: [Jim Konstanty, givenName, Casimir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casimir
Context triple: [Jim Konstanty, givenName, Casimir]
  • A. Casimir chosen
    Casimir was the given name of Casimir III the Great, the 14th-century king of Poland known for strengthening and reforming the Polish state.
  • B. Ramciel
    Ramciel is a proposed master-planned city intended to become the future capital of South Sudan.
  • C. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • D. Cassibile
    Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
  • E. Wallach
    Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0686cc6d481909c62a29a84a4ce8e completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638868d4481908611530d0bc8e286 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:34 p.m.