Triple

T6188643
Position Surface form Disambiguated ID Type / Status
Subject Eliezer Levi Samenhof E138128 entity
Predicate familyName P18 FINISHED
Object Samenhof
Samenhof is a surname most notably associated with L. L. Zamenhof, the creator of the constructed international language Esperanto.
E574663 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: Samenhof | Statement: [Eliezer Levi Samenhof, familyName, Samenhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samenhof
Context triple: [Eliezer Levi Samenhof, familyName, Samenhof]
  • A. Selhof
    Selhof is a district of the German town of Bad Honnef in the state of North Rhine-Westphalia.
  • B. Saalhof
    Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
  • C. Alfhausen
    Alfhausen is a small municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück region.
  • D. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • E. Hartmannshof
    Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
  • 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: Samenhof
Triple: [Eliezer Levi Samenhof, familyName, Samenhof]
Generated description
Samenhof is a surname most notably associated with L. L. Zamenhof, the creator of the constructed international language Esperanto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samenhof
Target entity description: Samenhof is a surname most notably associated with L. L. Zamenhof, the creator of the constructed international language Esperanto.
  • A. Selhof
    Selhof is a district of the German town of Bad Honnef in the state of North Rhine-Westphalia.
  • B. Saalhof
    Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
  • C. Alfhausen
    Alfhausen is a small municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück region.
  • D. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • E. Hartmannshof
    Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062192c5481909eb41f8c5d1208a3 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f06c770819087e055cfe6c8b134 completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1bfb484ac8190903efdf4a18f3a1c completed March 23, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_69c1c03551008190af5e3427b4cdcd11 completed March 23, 2026, 10:35 p.m.
Created at: March 22, 2026, 4:19 p.m.