Triple

T1421639
Position Surface form Disambiguated ID Type / Status
Subject Grete Hermann E30237 entity
Predicate familyName P18 FINISHED
Object Hermann
Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
 E234352 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: [Grete Hermann, familyName, Hermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hermann
Context triple: [Grete Hermann, familyName, Hermann]
  • A. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Wilhelm
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • D. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking countries.
  • E. Heinrici
    Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
  • 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: [Grete Hermann, familyName, Hermann]
Generated description
Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hermann
Target entity description: Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
  • A. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Wilhelm
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • D. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking countries.
  • E. Heinrici
    Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4915bfc8190a631330b7c495b49 completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae3037944c8190b2ced5f5ca539260 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae3149922c819085fb2af51d53304c completed March 9, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69ae31a67eb08190a3ef64e83301fabc completed March 9, 2026, 2:34 a.m.
Created at: March 1, 2026, 8 p.m.