Triple

T16595951
Position Surface form Disambiguated ID Type / Status
Subject Kamil Grosicki E403206 entity
Predicate familyName P18 FINISHED
Object Grosicki
Grosicki is a Polish surname most notably borne by professional footballer Kamil Grosicki, a winger known for his pace and international appearances for Poland.
 E1222853 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: Grosicki | Statement: [Kamil Grosicki, familyName, Grosicki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grosicki
Context triple: [Kamil Grosicki, familyName, Grosicki]
  • A. Grodzinski
    Grodzinski is a Jewish surname most prominently associated with the influential Lithuanian rabbi and halachic authority Chaim Ozer Grodzinski.
  • B. Bielecki
    Bielecki is a Polish surname borne by various notable individuals across fields such as politics, sports, and mountaineering.
  • C. Gęsicki
    Gęsicki is a Polish surname borne by individuals such as Zbigniew Gęsicki, a resistance fighter known by the pseudonym "Juno."
  • D. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • E. Krupiński
    Krupiński is a Polish surname, often borne by individuals of Polish origin and sometimes spelled in variant forms such as Kropinski.
  • 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: Grosicki
Triple: [Kamil Grosicki, familyName, Grosicki]
Generated description
Grosicki is a Polish surname most notably borne by professional footballer Kamil Grosicki, a winger known for his pace and international appearances for Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grosicki
Target entity description: Grosicki is a Polish surname most notably borne by professional footballer Kamil Grosicki, a winger known for his pace and international appearances for Poland.
  • A. Grodzinski
    Grodzinski is a Jewish surname most prominently associated with the influential Lithuanian rabbi and halachic authority Chaim Ozer Grodzinski.
  • B. Bielecki
    Bielecki is a Polish surname borne by various notable individuals across fields such as politics, sports, and mountaineering.
  • C. Gęsicki
    Gęsicki is a Polish surname borne by individuals such as Zbigniew Gęsicki, a resistance fighter known by the pseudonym "Juno."
  • D. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • E. Krupiński
    Krupiński is a Polish surname, often borne by individuals of Polish origin and sometimes spelled in variant forms such as Kropinski.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d717604819083ed60b865bbd13e completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759fe6ec81908c5321dcba558269 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a007825547c81909230ac39761fba96 completed May 10, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a00788e103481908d40bbe4a3cb1695 completed May 10, 2026, 12:22 p.m.
Created at: April 10, 2026, 5:16 a.m.