Triple

T11192789
Position Surface form Disambiguated ID Type / Status
Subject Sugar Kane Kowalczyk E264842 entity
Predicate familyName P18 FINISHED
Object Kowalczyk E640845 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: Kowalczyk | Statement: [Sugar Kane Kowalczyk, familyName, Kowalczyk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kowalczyk
Context triple: [Sugar Kane Kowalczyk, familyName, Kowalczyk]
  • A. Kowalczyk chosen
    Kowalczyk is a common Polish surname, typically a diminutive or variant of Kowal/Kowalski, historically associated with the occupation of a blacksmith.
  • B. Kaczmarek
    Kaczmarek is a Polish surname borne by various notable individuals in fields such as acting, music, and sports.
  • C. Wojciechowski
    Wojciechowski is a Polish surname most notably borne by Stanisław Wojciechowski, who served as President of Poland in the early 20th century.
  • D. Kowalik
    Kowalik is a Polish surname, likely of similar origin or family line to the surname Kowalski.
  • E. Kowale Oleckie
    Kowale Oleckie is a village in northern Poland that serves as the seat of its local administrative district within the Warmian-Masurian Voivodeship.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8be025481909d311b587418dfb2 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483f8ecf4819086f0bab3ca9ddcb4 completed April 19, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:29 p.m.