Triple

T251726
Position Surface form Disambiguated ID Type / Status
Subject War Refugee Board E5162 entity
Predicate notableEmployee P304 FINISHED
Object Raoul Wallenberg
Raoul Wallenberg was a Swedish diplomat renowned for saving tens of thousands of Hungarian Jews from the Holocaust during World War II.
E32206 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: Raoul Wallenberg | Statement: [War Refugee Board, notableEmployee, Raoul Wallenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raoul Wallenberg
Context triple: [War Refugee Board, notableEmployee, Raoul Wallenberg]
  • A. Johannes Steinhoff
    Johannes Steinhoff was a highly decorated German Luftwaffe fighter ace of World War II who later became a prominent general and key figure in rebuilding the postwar German Air Force and NATO air strategy.
  • B. Adolf Eichmann
    Adolf Eichmann was a high-ranking Nazi SS officer who played a central administrative role in organizing the logistics of the Holocaust.
  • C. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • D. Emanuel
    Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
  • E. Hans Mayer
    Hans Mayer was an Austrian economist of the Austrian School, known for his work on value theory and as a prominent academic in early 20th-century Vienna.
  • 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: Raoul Wallenberg
Triple: [War Refugee Board, notableEmployee, Raoul Wallenberg]
Generated description
Raoul Wallenberg was a Swedish diplomat renowned for saving tens of thousands of Hungarian Jews from the Holocaust during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Raoul Wallenberg
Target entity description: Raoul Wallenberg was a Swedish diplomat renowned for saving tens of thousands of Hungarian Jews from the Holocaust during World War II.
  • A. Johannes Steinhoff
    Johannes Steinhoff was a highly decorated German Luftwaffe fighter ace of World War II who later became a prominent general and key figure in rebuilding the postwar German Air Force and NATO air strategy.
  • B. Adolf Eichmann
    Adolf Eichmann was a high-ranking Nazi SS officer who played a central administrative role in organizing the logistics of the Holocaust.
  • C. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • D. Emanuel
    Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
  • E. Hans Mayer
    Hans Mayer was an Austrian economist of the Austrian School, known for his work on value theory and as a prominent academic in early 20th-century Vienna.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d39eb3881909f435043c8697f13 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a37374e97c819090a8921d5c27d1ab completed Feb. 28, 2026, 11 p.m.
NEDg Description generation batch_69a37424ca448190aeb43c7922fbd1dd completed Feb. 28, 2026, 11:03 p.m.
NED2 Entity disambiguation (via description) batch_69a3747b0bf481908b197614d9f2d04c completed Feb. 28, 2026, 11:04 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.