Triple

T4183782
Position Surface form Disambiguated ID Type / Status
Subject VIII Army Corps E88260 entity
Predicate notableCommander P1197 FINISHED
Object Walter Hartmann
Walter Hartmann was a German Wehrmacht general who held senior command positions, including corps-level leadership, during World War II.
E820774 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: Walter Hartmann | Statement: [VIII Army Corps, notableCommander, Walter Hartmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Hartmann
Context triple: [VIII Army Corps, notableCommander, Walter Hartmann]
  • A. Robert Hartmann
    Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
  • B. Werner Sauer
    Werner Sauer is a person notable enough to be recognized as a significant bearer of the surname Sauer.
  • C. Carl Hasenauer
    Carl Hasenauer was a prominent 19th-century Austrian architect known for his monumental historicist buildings in Vienna.
  • D. Wolfgang Schmieder
    Wolfgang Schmieder was a German musicologist best known for creating the Bach-Werke-Verzeichnis, the standard thematic catalog of Johann Sebastian Bach’s works.
  • E. Benno Fürmann
    Benno Fürmann is a German actor known for his work in both domestic cinema and international productions, including roles in films like "Speed Racer" and "The Princess and the Warrior."
  • 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: Walter Hartmann
Triple: [VIII Army Corps, notableCommander, Walter Hartmann]
Generated description
Walter Hartmann was a German Wehrmacht general who held senior command positions, including corps-level leadership, during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Walter Hartmann
Target entity description: Walter Hartmann was a German Wehrmacht general who held senior command positions, including corps-level leadership, during World War II.
  • A. Robert Hartmann
    Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
  • B. Werner Sauer
    Werner Sauer is a person notable enough to be recognized as a significant bearer of the surname Sauer.
  • C. Carl Hasenauer
    Carl Hasenauer was a prominent 19th-century Austrian architect known for his monumental historicist buildings in Vienna.
  • D. Wolfgang Schmieder
    Wolfgang Schmieder was a German musicologist best known for creating the Bach-Werke-Verzeichnis, the standard thematic catalog of Johann Sebastian Bach’s works.
  • E. Benno Fürmann
    Benno Fürmann is a German actor known for his work in both domestic cinema and international productions, including roles in films like "Speed Racer" and "The Princess and the Warrior."
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0307a0b481909c7287402a8c78c4 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c3ed827c8190899cb2ae9561765e completed April 5, 2026, 2:07 a.m.
NEDg Description generation batch_69d1c49053d08190b2bb5dc917785b6e completed April 5, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69d1c55139b88190bdebdb989ecc6a9d completed April 5, 2026, 2:13 a.m.
Created at: March 9, 2026, 3:45 p.m.