Triple

T9819791
Position Surface form Disambiguated ID Type / Status
Subject Julian Grobelny E238499 entity
Predicate familyName P18 FINISHED
Object Grobelny
Grobelny is a Polish surname most notably associated with Julian Grobelny, a resistance activist and rescuer of Jews during World War II.
E823667 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: Grobelny | Statement: [Julian Grobelny, familyName, Grobelny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grobelny
Context triple: [Julian Grobelny, familyName, Grobelny]
  • A. Olecko
    Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
  • B. Trebsen
    Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
  • C. Granitz
    Granitz is a forested hill range and nature reserve on the island of Rügen in Germany, known for its beech woods, scenic landscapes, and the historic hunting lodge Granitz Hunting Lodge.
  • D. Markusy
    Markusy is a village in northern Poland located in the Warmian-Masurian Voivodeship.
  • E. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • 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: Grobelny
Triple: [Julian Grobelny, familyName, Grobelny]
Generated description
Grobelny is a Polish surname most notably associated with Julian Grobelny, a resistance activist and rescuer of Jews during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grobelny
Target entity description: Grobelny is a Polish surname most notably associated with Julian Grobelny, a resistance activist and rescuer of Jews during World War II.
  • A. Olecko
    Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
  • B. Trebsen
    Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
  • C. Granitz
    Granitz is a forested hill range and nature reserve on the island of Rügen in Germany, known for its beech woods, scenic landscapes, and the historic hunting lodge Granitz Hunting Lodge.
  • D. Markusy
    Markusy is a village in northern Poland located in the Warmian-Masurian Voivodeship.
  • E. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f74e348190be8e4394ae6fe3fe completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc74de14819083299a549f04b2b1 completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1ccf59c68819082b4aa37e06d2aaf completed April 5, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0d945d48190b56b7fd2ce568a13 completed April 5, 2026, 3:02 a.m.
Created at: March 30, 2026, 8:31 p.m.