Triple

T1045750
Position Surface form Disambiguated ID Type / Status
Subject Erich Leinsdorf E22573 entity
Predicate givenName P17 FINISHED
Object Erich
Erich is a masculine given name of German origin, commonly used in German-speaking countries and beyond.
 E183749 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: Erich | Statement: [Erich Leinsdorf, givenName, Erich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erich
Context triple: [Erich Leinsdorf, givenName, Erich]
  • A. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking countries.
  • B. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • C. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Erich Bey
    Erich Bey was a German Kriegsmarine admiral during World War II, best known for commanding destroyer forces in major naval operations including the Battle of the North Cape.
  • 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: Erich
Triple: [Erich Leinsdorf, givenName, Erich]
Generated description
Erich is a masculine given name of German origin, commonly used in German-speaking countries and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erich
Target entity description: Erich is a masculine given name of German origin, commonly used in German-speaking countries and beyond.
  • A. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking countries.
  • B. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • C. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Erich Bey
    Erich Bey was a German Kriegsmarine admiral during World War II, best known for commanding destroyer forces in major naval operations including the Battle of the North Cape.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b84bb0048190badf6d2f7f684d99 completed March 1, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad58a2448c81909cb30e1a4400e1f3 completed March 8, 2026, 11:08 a.m.
NEDg Description generation batch_69ad59d1f8e081908be6ff543c4f1be7 completed March 8, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_69ad5a40bbbc819094910d0edf73be9f completed March 8, 2026, 11:15 a.m.
Created at: March 1, 2026, 7:42 p.m.