Triple

T6904353
Position Surface form Disambiguated ID Type / Status
Subject William Dieterle E159570 entity
Predicate placeOfDeath P21 FINISHED
Object Ottobrunn
Ottobrunn is a suburban municipality near Munich in Bavaria, Germany, known for its residential character and aerospace industry presence.
E683408 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: Ottobrunn | Statement: [William Dieterle, placeOfDeath, Ottobrunn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ottobrunn
Context triple: [William Dieterle, placeOfDeath, Ottobrunn]
  • A. Martinsried
    Martinsried is a village near Munich, Germany, known as a major hub for life sciences and biotechnology research.
  • B. Erding
    Erding is a Bavarian town northeast of Munich, best known for its historic center, Erdinger Weißbräu brewery, and large thermal spa complex.
  • C. Essling
    Essling is a village near Vienna, Austria, historically notable as one of the sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
  • D. Altötting
    Altötting is a Bavarian pilgrimage town renowned as one of Germany’s most important Catholic shrines, centered around the Chapel of Grace and its venerated Black Madonna.
  • E. Fürstenfeldbruck
    Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
  • 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: Ottobrunn
Triple: [William Dieterle, placeOfDeath, Ottobrunn]
Generated description
Ottobrunn is a suburban municipality near Munich in Bavaria, Germany, known for its residential character and aerospace industry presence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ottobrunn
Target entity description: Ottobrunn is a suburban municipality near Munich in Bavaria, Germany, known for its residential character and aerospace industry presence.
  • A. Martinsried
    Martinsried is a village near Munich, Germany, known as a major hub for life sciences and biotechnology research.
  • B. Erding
    Erding is a Bavarian town northeast of Munich, best known for its historic center, Erdinger Weißbräu brewery, and large thermal spa complex.
  • C. Essling
    Essling is a village near Vienna, Austria, historically notable as one of the sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
  • D. Altötting
    Altötting is a Bavarian pilgrimage town renowned as one of Germany’s most important Catholic shrines, centered around the Chapel of Grace and its venerated Black Madonna.
  • E. Fürstenfeldbruck
    Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d989c13081908a2e346cde9e3a50 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac7b53488190a00978e936b563ac completed March 29, 2026, 4:37 a.m.
NEDg Description generation batch_69c8af2fdd048190ad54dc9a4396d171 completed March 29, 2026, 4:48 a.m.
NED2 Entity disambiguation (via description) batch_69c8afe14810819094a236fb8f96e562 completed March 29, 2026, 4:51 a.m.
Created at: March 27, 2026, 2:25 p.m.