Triple

T1709966
Position Surface form Disambiguated ID Type / Status
Subject Christian Heurich E36958 entity
Predicate familyName P18 FINISHED
Object Heurich
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
 E193613 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: Heurich | Statement: [Christian Heurich, familyName, Heurich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heurich
Context triple: [Christian Heurich, familyName, Heurich]
  • A. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • B. Nyhausen
    Nyhausen is a locality in Germany historically noted as the birthplace of the Swedish nobleman and soldier Philip Christoph von Königsmarck.
  • C. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • D. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • E. Schellenberg
    Schellenberg is a small municipality in Liechtenstein known for its historic sites and scenic Alpine surroundings.
  • 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: Heurich
Triple: [Christian Heurich, familyName, Heurich]
Generated description
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heurich
Target entity description: Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • A. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • B. Nyhausen
    Nyhausen is a locality in Germany historically noted as the birthplace of the Swedish nobleman and soldier Philip Christoph von Königsmarck.
  • C. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • D. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • E. Schellenberg
    Schellenberg is a small municipality in Liechtenstein known for its historic sites and scenic Alpine surroundings.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa631329088190a2ce8f755bd69fc7 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8adb1b588190b93f9d28d27cab72 completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957912808190be5b6ed8d3f20535 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97accca48190bc43e94337589a5f completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.