Triple

T3062053
Position Surface form Disambiguated ID Type / Status
Subject Jepsen E62016 entity
Predicate derivedFromGivenName P17 FINISHED
Object Jeppe
Jeppe is a Scandinavian masculine given name, commonly used in Denmark and related to names like Jepser or Jepsen.
 E322700 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: Jeppe | Statement: [Jepsen, derivedFromGivenName, Jeppe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeppe
Context triple: [Jepsen, derivedFromGivenName, Jeppe]
  • A. Jens
    Jens is a masculine given name commonly used in Scandinavian and German-speaking countries, equivalent to "John" in English.
  • B. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • C. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • D. Niels
    Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
  • E. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • 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: Jeppe
Triple: [Jepsen, derivedFromGivenName, Jeppe]
Generated description
Jeppe is a Scandinavian masculine given name, commonly used in Denmark and related to names like Jepser or Jepsen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeppe
Target entity description: Jeppe is a Scandinavian masculine given name, commonly used in Denmark and related to names like Jepser or Jepsen.
  • A. Jens
    Jens is a masculine given name commonly used in Scandinavian and German-speaking countries, equivalent to "John" in English.
  • B. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • C. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • D. Niels
    Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
  • E. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e9f33d88190bd481cb7f18ceb91 completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0e757481908eb1d9693474c49d completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1efedc68481908c2fece012621f1f completed March 11, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69b1f07505c881909841f184af3e4319 completed March 11, 2026, 10:45 p.m.
Created at: March 8, 2026, 3:02 p.m.