Triple

T7041316
Position Surface form Disambiguated ID Type / Status
Subject Kowalski E163517 entity
Predicate hasRelatedSurname P3889 FINISHED
Object Kowalik
Kowalik is a Polish surname, likely of similar origin or family line to the surname Kowalski.
E641455 NE FINISHED

How this triple was built (4 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: Kowalik | Statement: [Kowalski, hasRelatedSurname, Kowalik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kowalik
Context triple: [Kowalski, hasRelatedSurname, Kowalik]
  • A. Nowacki
    Nowacki is a Polish surname, likely a patronymic or diminutive variant of the common surname Nowak.
  • B. 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.
  • C. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • D. Witos
    Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
  • E. Wójcicki
    Wójcicki is a Polish surname most notably associated with figures such as Susan Wojcicki, the former CEO of YouTube, and her family.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kowalik
Triple: [Kowalski, hasRelatedSurname, Kowalik]
Generated description
Kowalik is a Polish surname, likely of similar origin or family line to the surname Kowalski.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kowalik
Target entity description: Kowalik is a Polish surname, likely of similar origin or family line to the surname Kowalski.
  • A. Nowacki
    Nowacki is a Polish surname, likely a patronymic or diminutive variant of the common surname Nowak.
  • B. 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.
  • C. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • D. Witos
    Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
  • E. Wójcicki
    Wójcicki is a Polish surname most notably associated with figures such as Susan Wojcicki, the former CEO of YouTube, and her family.
  • F. None of above. chosen

Provenance (5 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e22544708190b0dffb5256d4cda6 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c8379d88190b91b820851d1049a completed March 28, 2026, 9:16 a.m.
NEDg Description generation batch_69c79d16d3408190a36ab53d5d202e15 completed March 28, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69c79dc7d7d8819097e423ef70b03040 completed March 28, 2026, 9:22 a.m.
Created at: March 27, 2026, 2:36 p.m.