Triple

T642603
Position Surface form Disambiguated ID Type / Status
Subject Hermann von Helmholtz E16771 entity
Predicate givenName P17 FINISHED
Object Hermann
Hermann is a masculine given name of German origin, historically borne by notable figures such as scientists, military leaders, and artists.
 E24628 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: Hermann | Statement: [Hermann von Helmholtz, givenName, Hermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hermann
Context triple: [Hermann von Helmholtz, givenName, Hermann]
  • A. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • B. Wilhelm
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • C. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking countries.
  • D. Heinrich
    Heinrich is a masculine given name of German origin that has been borne by numerous historical figures, including nobility, scholars, and political leaders.
  • E. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • 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: Hermann
Triple: [Hermann von Helmholtz, givenName, Hermann]
Generated description
Hermann is a masculine given name of German origin, historically borne by notable figures such as scientists, military leaders, and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hermann
Target entity description: Hermann is a masculine given name of German origin, historically borne by notable figures such as scientists, military leaders, and artists.
  • A. Hermann chosen
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • B. Wilhelm
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • C. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking countries.
  • D. Heinrich
    Heinrich is a masculine given name of German origin that has been borne by numerous historical figures, including nobility, scholars, and political leaders.
  • E. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • F. None of above.

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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f03db7481909e49c325c5f7cdae completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654d435088190b4a910dc280d13c6 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a65583c7a481908b3833969c30da29 completed March 3, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69a655e1e88481909e37a9911bf5ba8c completed March 3, 2026, 3:30 a.m.
Created at: March 1, 2026, 7:36 p.m.