Triple

T15549430
Position Surface form Disambiguated ID Type / Status
Subject Aleksander Kakowski E370700 entity
Predicate familyName P18 FINISHED
Object Kakowski
Kakowski is a Polish surname most notably borne by Aleksander Kakowski, a prominent Roman Catholic cardinal and archbishop in early 20th-century Poland.
E1163206 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: Kakowski | Statement: [Aleksander Kakowski, familyName, Kakowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kakowski
Context triple: [Aleksander Kakowski, familyName, Kakowski]
  • A. Krakowski
    Krakowski is a Polish surname most notably borne by American actress and singer Jane Krakowski, known for her roles in television, film, and theater.
  • B. Kozik
    Kozik is a member of the fictional outlaw motorcycle club featured in the TV series "Sons of Anarchy."
  • C. Konopka
    Konopka is the original surname of American actor and comedian Ted Knight, best known for his role as the bumbling news anchor Ted Baxter on "The Mary Tyler Moore Show."
  • D. Kowen
    Kowen is a locality within the Kowen Forest area near Canberra in the Australian Capital Territory, known for its pine plantations and outdoor recreation activities.
  • E. Nowakowski
    Nowakowski is a Polish-origin surname borne by various individuals across fields such as science, sports, and the arts.
  • 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: Kakowski
Triple: [Aleksander Kakowski, familyName, Kakowski]
Generated description
Kakowski is a Polish surname most notably borne by Aleksander Kakowski, a prominent Roman Catholic cardinal and archbishop in early 20th-century Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kakowski
Target entity description: Kakowski is a Polish surname most notably borne by Aleksander Kakowski, a prominent Roman Catholic cardinal and archbishop in early 20th-century Poland.
  • A. Krakowski
    Krakowski is a Polish surname most notably borne by American actress and singer Jane Krakowski, known for her roles in television, film, and theater.
  • B. Kozik
    Kozik is a member of the fictional outlaw motorcycle club featured in the TV series "Sons of Anarchy."
  • C. Konopka
    Konopka is the original surname of American actor and comedian Ted Knight, best known for his role as the bumbling news anchor Ted Baxter on "The Mary Tyler Moore Show."
  • D. Kowen
    Kowen is a locality within the Kowen Forest area near Canberra in the Australian Capital Territory, known for its pine plantations and outdoor recreation activities.
  • E. Nowakowski
    Nowakowski is a Polish-origin surname borne by various individuals across fields such as science, sports, and the arts.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a93121881909d88ca55a39252ac completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455dfbcc8190a93e90c59b2d3045 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff467e5d6c8190ba3bf6557e683233 completed May 9, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69ff470912bc8190a42ee312aca55872 completed May 9, 2026, 2:39 p.m.
Created at: April 10, 2026, 4:08 a.m.