Triple

T6035477
Position Surface form Disambiguated ID Type / Status
Subject Hjalmar Schacht E134409 entity
Predicate familyName P18 FINISHED
Object Schacht
Schacht is a German surname most notably associated with Hjalmar Schacht, the influential economist and Reichsbank president in early 20th-century Germany.
 E564853 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: Schacht | Statement: [Hjalmar Schacht, familyName, Schacht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schacht
Context triple: [Hjalmar Schacht, familyName, Schacht]
  • A. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • B. Oberhauser
    Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
  • C. Syrgenstein
    Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
  • D. Schatzberg
    Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
  • E. Ziegelstein
    Ziegelstein is a district in Nuremberg, Germany, known for its residential character and proximity to Nuremberg Airport.
  • 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: Schacht
Triple: [Hjalmar Schacht, familyName, Schacht]
Generated description
Schacht is a German surname most notably associated with Hjalmar Schacht, the influential economist and Reichsbank president in early 20th-century Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schacht
Target entity description: Schacht is a German surname most notably associated with Hjalmar Schacht, the influential economist and Reichsbank president in early 20th-century Germany.
  • A. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • B. Oberhauser
    Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
  • C. Syrgenstein
    Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
  • D. Schatzberg
    Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
  • E. Ziegelstein
    Ziegelstein is a district in Nuremberg, Germany, known for its residential character and proximity to Nuremberg Airport.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b4e3ec819089b2d119ea2953fe completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1138cb2388190a80562a835388dc3 completed March 23, 2026, 10:18 a.m.
NEDg Description generation batch_69c11551bec88190be77db3ec96045ad completed March 23, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69c115f88e948190a3ea11b33742779c completed March 23, 2026, 10:29 a.m.
Created at: March 22, 2026, 4:08 p.m.