Triple

T959652
Position Surface form Disambiguated ID Type / Status
Subject Günther Rall E20705 entity
Predicate givenName P17 FINISHED
Object Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
 E172627 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: Günther | Statement: [Günther Rall, givenName, Günther]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Günther
Context triple: [Günther Rall, givenName, Günther]
  • A. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • B. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • C. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking countries.
  • D. Otto
    Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
  • E. Otto
    Otto is a given name of Germanic origin commonly used across 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: Günther
Triple: [Günther Rall, givenName, Günther]
Generated description
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Günther
Target entity description: Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • A. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • B. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • C. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking countries.
  • D. Otto
    Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
  • E. Otto
    Otto is a given name of Germanic origin commonly used across 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b412f9f48190be123e8c20f38962 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad230d2870819099001561e36078f5 completed March 8, 2026, 7:19 a.m.
NEDg Description generation batch_69ad24b98d6881908e31adebea66affb completed March 8, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69ad25732ca08190bc8cbb1692adf35e completed March 8, 2026, 7:29 a.m.
Created at: March 1, 2026, 7:40 p.m.