Triple

T12406303
Position Surface form Disambiguated ID Type / Status
Subject Bovenden E296395 entity
Predicate hasMayor P185 FINISHED
Object Thomas Brandes
Thomas Brandes is a German local politician who serves as the mayor of the municipality of Bovenden.
E986273 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: Thomas Brandes | Statement: [Bovenden, hasMayor, Thomas Brandes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Brandes
Context triple: [Bovenden, hasMayor, Thomas Brandes]
  • A. Thomas Römer
    Thomas Römer is a prominent French biblical scholar and historian of ancient Israel, known for his influential work on the composition and historical context of the Hebrew Bible.
  • B. Thomas Schippers
    Thomas Schippers was an American conductor renowned for his dynamic interpretations of opera and orchestral repertoire, particularly in the mid-20th century.
  • C. Robert von Bahr
    Robert von Bahr is a Swedish music executive best known as the founder and longtime leader of the classical music label BIS Records, recognized for its high-quality and often pioneering recordings.
  • D. Martin Brand
    Martin Brand is a musician best known as a member of the influential English post-punk/funk band A Certain Ratio.
  • E. Robert Brandt
    Robert Brandt is a film producer known for his work on the movie "Dead Ringer."
  • 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: Thomas Brandes
Triple: [Bovenden, hasMayor, Thomas Brandes]
Generated description
Thomas Brandes is a German local politician who serves as the mayor of the municipality of Bovenden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Brandes
Target entity description: Thomas Brandes is a German local politician who serves as the mayor of the municipality of Bovenden.
  • A. Thomas Römer
    Thomas Römer is a prominent French biblical scholar and historian of ancient Israel, known for his influential work on the composition and historical context of the Hebrew Bible.
  • B. Thomas Schippers
    Thomas Schippers was an American conductor renowned for his dynamic interpretations of opera and orchestral repertoire, particularly in the mid-20th century.
  • C. Robert von Bahr
    Robert von Bahr is a Swedish music executive best known as the founder and longtime leader of the classical music label BIS Records, recognized for its high-quality and often pioneering recordings.
  • D. Martin Brand
    Martin Brand is a musician best known as a member of the influential English post-punk/funk band A Certain Ratio.
  • E. Robert Brandt
    Robert Brandt is a film producer known for his work on the movie "Dead Ringer."
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d48f1908190918551c794f98fe3 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b962d1c81909c2119890d921648 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64c7c5d04819094fcbee0a4b5cbb4 completed May 2, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69f64d668e548190979b3da72fe21ae7 completed May 2, 2026, 7:15 p.m.
Created at: April 8, 2026, 9:55 p.m.