Triple

T1059100
Position Surface form Disambiguated ID Type / Status
Subject Charles Hammann E22864 entity
Predicate familyName P18 FINISHED
Object Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
 E129414 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: Hammann | Statement: [Charles Hammann, familyName, Hammann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hammann
Context triple: [Charles Hammann, familyName, Hammann]
  • A. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • B. Otto
    Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
  • C. 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.
  • D. Hartmann
    Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
  • E. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking 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: Hammann
Triple: [Charles Hammann, familyName, Hammann]
Generated description
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hammann
Target entity description: Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • A. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • B. 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.
  • C. Otto
    Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
  • D. Hartmann
    Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
  • E. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f28c7c8190b9ca3749666bcbf3 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac599c08f481908b720e2cc7c4a5ef completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a6b43cc81908086f4c4e2bb34c8 completed March 7, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69ac5add366c819086a01654c6cdcf38 completed March 7, 2026, 5:05 p.m.
Created at: March 1, 2026, 7:42 p.m.