Triple

T16602974
Position Surface form Disambiguated ID Type / Status
Subject Behrendt E403375 entity
Predicate hasNotableBearer P458 FINISHED
Object Lars Behrendt
Lars Behrendt is a relatively obscure individual about whom no widely known public information is available.
E1223248 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: Lars Behrendt | Statement: [Behrendt, hasNotableBearer, Lars Behrendt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lars Behrendt
Context triple: [Behrendt, hasNotableBearer, Lars Behrendt]
  • A. Benno Elbs
    Benno Elbs is an Austrian Roman Catholic prelate who serves as the bishop of the Diocese of Feldkirch.
  • B. Stefan Brecht
    Stefan Brecht was a German-American poet, theater scholar, and critic known for his extensive writings on avant-garde theater and as the son of playwright Bertolt Brecht.
  • C. Lutz Seiler
    Lutz Seiler is a contemporary German poet and novelist renowned for his lyrically dense explorations of East German history and memory.
  • D. Klaus Busse
    Klaus Busse is a German automotive designer known for leading design at Maserati and other Stellantis brands, shaping the look of several modern luxury and performance vehicles.
  • E. Peter Riegert
    Peter Riegert is an American actor and director known for his roles in films such as "Animal House," "Local Hero," and "The Mask," as well as numerous television appearances.
  • 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: Lars Behrendt
Triple: [Behrendt, hasNotableBearer, Lars Behrendt]
Generated description
Lars Behrendt is a relatively obscure individual about whom no widely known public information is available.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lars Behrendt
Target entity description: Lars Behrendt is a relatively obscure individual about whom no widely known public information is available.
  • A. Benno Elbs
    Benno Elbs is an Austrian Roman Catholic prelate who serves as the bishop of the Diocese of Feldkirch.
  • B. Stefan Brecht
    Stefan Brecht was a German-American poet, theater scholar, and critic known for his extensive writings on avant-garde theater and as the son of playwright Bertolt Brecht.
  • C. Lutz Seiler
    Lutz Seiler is a contemporary German poet and novelist renowned for his lyrically dense explorations of East German history and memory.
  • D. Klaus Busse
    Klaus Busse is a German automotive designer known for leading design at Maserati and other Stellantis brands, shaping the look of several modern luxury and performance vehicles.
  • E. Peter Riegert
    Peter Riegert is an American actor and director known for his roles in films such as "Animal House," "Local Hero," and "The Mask," as well as numerous television appearances.
  • 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_69e35d77d97c8190a63330897e49a9c9 completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075a67abc8190b0f29a9e4589befb completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a0079dd3630819095fcf8044d9335cc completed May 10, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_6a007aa7180c8190b79db43e5cac19d3 completed May 10, 2026, 12:31 p.m.
Created at: April 10, 2026, 5:17 a.m.