Triple

T9204992
Position Surface form Disambiguated ID Type / Status
Subject Norman Grabowski E220951 entity
Predicate familyName P18 FINISHED
Object Grabowski
Grabowski is a Polish-origin surname borne by numerous individuals across fields such as sports, arts, and public life.
E784312 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: Grabowski | Statement: [Norman Grabowski, familyName, Grabowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grabowski
Context triple: [Norman Grabowski, familyName, Grabowski]
  • A. Grabowsky
    Grabowsky is a surname most notably associated with Australian pianist, composer, and conductor Paul Grabowsky.
  • B. Mrugowsky
    Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
  • 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. Wolski
    Wolski is a Polish surname borne by various notable individuals in fields such as film, sports, and academia.
  • E. Kowalik
    Kowalik is a Polish surname, likely of similar origin or family line to the surname Kowalski.
  • 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: Grabowski
Triple: [Norman Grabowski, familyName, Grabowski]
Generated description
Grabowski is a Polish-origin surname borne by numerous individuals across fields such as sports, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grabowski
Target entity description: Grabowski is a Polish-origin surname borne by numerous individuals across fields such as sports, arts, and public life.
  • A. Grabowsky
    Grabowsky is a surname most notably associated with Australian pianist, composer, and conductor Paul Grabowsky.
  • B. Mrugowsky
    Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
  • 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. Wolski
    Wolski is a Polish surname borne by various notable individuals in fields such as film, sports, and academia.
  • E. Kowalik
    Kowalik is a Polish surname, likely of similar origin or family line to the surname Kowalski.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd945f37881909f0d30eeb6a7a3ad completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c4e56208190a5b2749b81e467be completed April 4, 2026, 12:33 a.m.
NEDg Description generation batch_69d05d2e27a081909497f48f3b93b1fe completed April 4, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69d05df3687c8190b85baf1c4fee054a completed April 4, 2026, 12:40 a.m.
Created at: March 30, 2026, 7:26 p.m.