Triple

T3578118
Position Surface form Disambiguated ID Type / Status
Subject Luka Dončić E75734 entity
Predicate mother P120 FINISHED
Object Mirjam Poterbin
Mirjam Poterbin is a Slovenian businesswoman and former model best known as the mother and early mentor of NBA star Luka Dončić.
 E370105 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: Mirjam Poterbin | Statement: [Luka Dončić, mother, Mirjam Poterbin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mirjam Poterbin
Context triple: [Luka Dončić, mother, Mirjam Poterbin]
  • A. Anja Tschimiakin
    Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
  • B. Tanja Stomporowski
    Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
  • C. Franziska Matzelsberger
    Franziska Matzelsberger was the second wife of Alois Hitler and the stepmother of Adolf Hitler.
  • D. Julia Sauer
    Julia Sauer was an American librarian and author best known for her atmospheric children's fantasy and historical novels, including the Newbery Honor book "Fog Magic."
  • E. Maria Koppenhöfer
    Maria Koppenhöfer was a German actress known for her roles in mid-20th-century German cinema and theater.
  • 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: Mirjam Poterbin
Triple: [Luka Dončić, mother, Mirjam Poterbin]
Generated description
Mirjam Poterbin is a Slovenian businesswoman and former model best known as the mother and early mentor of NBA star Luka Dončić.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mirjam Poterbin
Target entity description: Mirjam Poterbin is a Slovenian businesswoman and former model best known as the mother and early mentor of NBA star Luka Dončić.
  • A. Anja Tschimiakin
    Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
  • B. Tanja Stomporowski
    Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
  • C. Franziska Matzelsberger
    Franziska Matzelsberger was the second wife of Alois Hitler and the stepmother of Adolf Hitler.
  • D. Julia Sauer
    Julia Sauer was an American librarian and author best known for her atmospheric children's fantasy and historical novels, including the Newbery Honor book "Fog Magic."
  • E. Maria Koppenhöfer
    Maria Koppenhöfer was a German actress known for her roles in mid-20th-century German cinema and theater.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0dd3e048190a0c6666e13ead9cd completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbc6bc948190a517639f5d79c0a3 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bc93f93c8190a23301340b08d76b completed March 13, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69b3f8033cd481909bc0e24fd9d86831 completed March 13, 2026, 11:41 a.m.
Created at: March 8, 2026, 3:21 p.m.