Triple

T2271306
Position Surface form Disambiguated ID Type / Status
Subject Hildegard Hamm-Brücher E50664 entity
Predicate familyName P18 FINISHED
Object Hamm-Brücher
Hamm-Brücher is the hyphenated surname associated with German politician and liberal education advocate Hildegard Hamm-Brücher.
E250088 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: Hamm-Brücher | Statement: [Hildegard Hamm-Brücher, familyName, Hamm-Brücher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamm-Brücher
Context triple: [Hildegard Hamm-Brücher, familyName, Hamm-Brücher]
  • A. Hammann
    Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • B. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • C. Ruländer
    Ruländer is a traditional German name for the Pinot Gris grape variety, commonly used for rich, full-bodied white wines.
  • D. Bohle
    Bohle is a German surname most notably associated with Ernst Wilhelm Bohle, a high-ranking Nazi official and leader of the party’s foreign organization.
  • E. Wolthusen
    Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
  • 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: Hamm-Brücher
Triple: [Hildegard Hamm-Brücher, familyName, Hamm-Brücher]
Generated description
Hamm-Brücher is the hyphenated surname associated with German politician and liberal education advocate Hildegard Hamm-Brücher.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hamm-Brücher
Target entity description: Hamm-Brücher is the hyphenated surname associated with German politician and liberal education advocate Hildegard Hamm-Brücher.
  • A. Hammann
    Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • B. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • C. Ruländer
    Ruländer is a traditional German name for the Pinot Gris grape variety, commonly used for rich, full-bodied white wines.
  • D. Bohle
    Bohle is a German surname most notably associated with Ernst Wilhelm Bohle, a high-ranking Nazi official and leader of the party’s foreign organization.
  • E. Wolthusen
    Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1c0de488190876b644cdaa41637 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71db927c8190a76cfb873039b04b completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae7486bf808190a732e5eb7744b087 completed March 9, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae74eb89448190895fab4a493c6d08 completed March 9, 2026, 7:21 a.m.
Created at: March 4, 2026, 7:48 p.m.