Triple

T1485282
Position Surface form Disambiguated ID Type / Status
Subject Gebhard Leberecht von Blücher E29450 entity
Predicate givenName P17 FINISHED
Object Gebhard
Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
 E174440 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: Gebhard | Statement: [Gebhard Leberecht von Blücher, givenName, Gebhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gebhard
Context triple: [Gebhard Leberecht von Blücher, givenName, Gebhard]
  • A. Eberhard
    Eberhard is a German masculine given name of Old High German origin, traditionally meaning "strong boar" or "brave boar."
  • B. Aribert
    Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
  • C. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • D. Reinhard
    Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
  • E. Ruprecht
    Ruprecht is a German given name, cognate with Robert, traditionally borne by various historical figures and saints in German-speaking regions.
  • 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: Gebhard
Triple: [Gebhard Leberecht von Blücher, givenName, Gebhard]
Generated description
Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gebhard
Target entity description: Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
  • A. Eberhard
    Eberhard is a German masculine given name of Old High German origin, traditionally meaning "strong boar" or "brave boar."
  • B. Aribert
    Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
  • C. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • D. Reinhard
    Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
  • E. Ruprecht
    Ruprecht is a German given name, cognate with Robert, traditionally borne by various historical figures and saints in German-speaking regions.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a1d8448190b3c90bb82fd806fe completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad2943545c8190a2246a41d712528b completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad29dc9fd08190b67527f0662c92dc completed March 8, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a4d71a88190b67ed21beebbb479 completed March 8, 2026, 7:50 a.m.
Created at: March 1, 2026, 8:12 p.m.