Triple

T3952217
Position Surface form Disambiguated ID Type / Status
Subject Kasha Kropinski E84889 entity
Predicate familyName P18 FINISHED
Object Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
 E402541 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: Kropinski | Statement: [Kasha Kropinski, familyName, Kropinski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kropinski
Context triple: [Kasha Kropinski, familyName, Kropinski]
  • A. Kopervik
    Kopervik is a coastal town in Rogaland county, Norway, situated on the island of Karmøy and serving as an important local commercial and administrative center.
  • B. Kurtzberg
    Kurtzberg is the birth surname of legendary comic book creator Jack Kirby, co-architect of much of the Marvel Universe.
  • C. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • D. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • E. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • 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: Kropinski
Triple: [Kasha Kropinski, familyName, Kropinski]
Generated description
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kropinski
Target entity description: Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
  • A. Kopervik
    Kopervik is a coastal town in Rogaland county, Norway, situated on the island of Karmøy and serving as an important local commercial and administrative center.
  • B. Kurtzberg
    Kurtzberg is the birth surname of legendary comic book creator Jack Kirby, co-architect of much of the Marvel Universe.
  • C. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • D. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • E. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef939d1308190930dc2c8272eafa4 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533a80d4c8190bb1aac1b2900d9a8 completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b5341fb74081909a33753e5fdd5c32 completed March 14, 2026, 10:10 a.m.
NED2 Entity disambiguation (via description) batch_69b534d279548190bee44aea7828ed3b completed March 14, 2026, 10:13 a.m.
Created at: March 9, 2026, 3:30 p.m.