Triple

T11806873
Position Surface form Disambiguated ID Type / Status
Subject Eberl E280768 entity
Predicate hasNotableBearer P458 FINISHED
Object Anton Eberl
Anton Eberl was an Austrian composer, pianist, and contemporary of Mozart and Beethoven, known for his symphonies, chamber music, and piano works in the late Classical era.
E1114647 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: Anton Eberl | Statement: [Eberl, hasNotableBearer, Anton Eberl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anton Eberl
Context triple: [Eberl, hasNotableBearer, Anton Eberl]
  • A. Franz Eichberger
    Franz Eichberger was an Austrian actor best known for his role in Leni Riefenstahl’s film "Tiefland."
  • B. Friedrich Obleser
    Friedrich Obleser was a German Luftwaffe fighter ace of World War II who later became a senior officer in the postwar West German Air Force (Bundesluftwaffe).
  • C. Anton Graßer
    Anton Graßer was a German Wehrmacht general during World War II who held several high-ranking commands on the Eastern Front.
  • D. Julius Schaub
    Julius Schaub was a close associate and chief aide to Adolf Hitler, serving as his personal adjutant and loyal confidant throughout the Nazi era.
  • E. Franz Eckert
    Franz Eckert was a German musician and composer known for arranging and influencing early modern national anthems in Japan and Korea.
  • 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: Anton Eberl
Triple: [Eberl, hasNotableBearer, Anton Eberl]
Generated description
Anton Eberl was an Austrian composer, pianist, and contemporary of Mozart and Beethoven, known for his symphonies, chamber music, and piano works in the late Classical era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anton Eberl
Target entity description: Anton Eberl was an Austrian composer, pianist, and contemporary of Mozart and Beethoven, known for his symphonies, chamber music, and piano works in the late Classical era.
  • A. Franz Eichberger
    Franz Eichberger was an Austrian actor best known for his role in Leni Riefenstahl’s film "Tiefland."
  • B. Friedrich Obleser
    Friedrich Obleser was a German Luftwaffe fighter ace of World War II who later became a senior officer in the postwar West German Air Force (Bundesluftwaffe).
  • C. Anton Graßer
    Anton Graßer was a German Wehrmacht general during World War II who held several high-ranking commands on the Eastern Front.
  • D. Julius Schaub
    Julius Schaub was a close associate and chief aide to Adolf Hitler, serving as his personal adjutant and loyal confidant throughout the Nazi era.
  • E. Franz Eckert
    Franz Eckert was a German musician and composer known for arranging and influencing early modern national anthems in Japan and Korea.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69fde158a5a48190b3945945f94f97a0 completed May 8, 2026, 1:12 p.m.
NEDg Description generation batch_69fde23ab6dc8190a8b1ef0377b74ed5 completed May 8, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_69fde60e72e88190bf56b3ddb3f77839 completed May 8, 2026, 1:33 p.m.
Created at: April 8, 2026, 9:42 p.m.