Triple

T15473257
Position Surface form Disambiguated ID Type / Status
Subject John Poznanski E376716 entity
Predicate familyName P18 FINISHED
Object Poznanski
Poznanski is a surname of likely Polish origin borne by various individuals, including those of Jewish and Eastern European descent.
 E1159137 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: Poznanski | Statement: [John Poznanski, familyName, Poznanski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Poznanski
Context triple: [John Poznanski, familyName, Poznanski]
  • A. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • B. Boznańska
    Boznańska is the surname of Olga Boznańska, a renowned Polish painter associated with Impressionism and known for her expressive portraits.
  • C. Potocki
    Potocki is a Polish noble surname historically associated with one of the most prominent aristocratic families of the Polish–Lithuanian Commonwealth.
  • D. Bielecki
    Bielecki is a Polish surname borne by various notable individuals across fields such as politics, sports, and mountaineering.
  • E. Dąbrowski
    Dąbrowski is a common Polish surname borne by numerous notable figures in fields such as politics, the military, arts, and sports.
  • 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: Poznanski
Triple: [John Poznanski, familyName, Poznanski]
Generated description
Poznanski is a surname of likely Polish origin borne by various individuals, including those of Jewish and Eastern European descent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Poznanski
Target entity description: Poznanski is a surname of likely Polish origin borne by various individuals, including those of Jewish and Eastern European descent.
  • A. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • B. Boznańska
    Boznańska is the surname of Olga Boznańska, a renowned Polish painter associated with Impressionism and known for her expressive portraits.
  • C. Potocki
    Potocki is a Polish noble surname historically associated with one of the most prominent aristocratic families of the Polish–Lithuanian Commonwealth.
  • D. Bielecki
    Bielecki is a Polish surname borne by various notable individuals across fields such as politics, sports, and mountaineering.
  • E. Dąbrowski
    Dąbrowski is a common Polish surname borne by numerous notable figures in fields such as politics, the military, arts, and sports.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6c57308190b4cfe661c26addd4 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d075e64819097061ef4c205577e completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff2e1fb27c81908de0d755bf30c833 completed May 9, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69ff2f3ab6988190b4cefe2f55c4101c completed May 9, 2026, 12:57 p.m.
Created at: April 10, 2026, 3:33 a.m.