Triple

T4228713
Position Surface form Disambiguated ID Type / Status
Subject König E94523 entity
Predicate hasNotableBearer P458 FINISHED
Object Stefan König
Stefan König is a German actor known for his work in film, television, and theater.
E422346 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: Stefan König | Statement: [König, hasNotableBearer, Stefan König]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stefan König
Context triple: [König, hasNotableBearer, Stefan König]
  • A. Christian Gudegast
    Christian Gudegast is an American filmmaker and screenwriter known for writing action and crime thrillers and for making his feature directorial debut with the heist film "Den of Thieves."
  • B. Hans-Peter Kriegel
    Hans-Peter Kriegel is a German computer scientist renowned for his influential contributions to data mining and database systems, particularly in clustering and similarity search.
  • C. Klaus Schütz
    Klaus Schütz was a German Social Democratic politician best known for serving as Governing Mayor of West Berlin during the late 1960s and early 1970s, a key period of the Cold War.
  • D. Michael Lehmann
    Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
  • E. Johannes Eisermann
    Johannes Eisermann is a scholar known for his professorship at the European University Viadrina in Frankfurt (Oder), where he has made notable academic contributions.
  • 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: Stefan König
Triple: [König, hasNotableBearer, Stefan König]
Generated description
Stefan König is a German actor known for his work in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stefan König
Target entity description: Stefan König is a German actor known for his work in film, television, and theater.
  • A. Christian Gudegast
    Christian Gudegast is an American filmmaker and screenwriter known for writing action and crime thrillers and for making his feature directorial debut with the heist film "Den of Thieves."
  • B. Hans-Peter Kriegel
    Hans-Peter Kriegel is a German computer scientist renowned for his influential contributions to data mining and database systems, particularly in clustering and similarity search.
  • C. Klaus Schütz
    Klaus Schütz was a German Social Democratic politician best known for serving as Governing Mayor of West Berlin during the late 1960s and early 1970s, a key period of the Cold War.
  • D. Michael Lehmann
    Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
  • E. Johannes Eisermann
    Johannes Eisermann is a scholar known for his professorship at the European University Viadrina in Frankfurt (Oder), where he has made notable academic contributions.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e51817c8190bff50f2c3b5deea0 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964cd0088190a97ca5278046ba7b completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596cc2a4c819089e785917cd700f2 completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59769936081908c42c0006b6ad9c3 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:04 p.m.