Triple

T603948
Position Surface form Disambiguated ID Type / Status
Subject Ernst Alexanderson E11555 entity
Predicate givenName P17 FINISHED
Object Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
 E81465 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: Ernst | Statement: [Ernst Alexanderson, givenName, Ernst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ernst
Context triple: [Ernst Alexanderson, givenName, Ernst]
  • A. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • B. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • C. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking countries.
  • D. Bernhard
    Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
  • E. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • 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: Ernst
Triple: [Ernst Alexanderson, givenName, Ernst]
Generated description
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ernst
Target entity description: Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • A. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • B. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • C. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking countries.
  • D. Bernhard
    Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
  • E. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49dc67b248190b0bb195553f03be8 completed March 1, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a6d19248190a5a57930153a208f completed March 2, 2026, 1:02 p.m.
NEDg Description generation batch_69a58e46d418819081d943dfdfb9b6e8 completed March 2, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_69a58ee773308190ad1648bb834096a6 completed March 2, 2026, 1:21 p.m.
Created at: March 1, 2026, 7:35 p.m.