Triple

T6444528
Position Surface form Disambiguated ID Type / Status
Subject Jesper Christensen E138307 entity
Predicate givenName P17 FINISHED
Object Jesper
Jesper is a masculine given name commonly used in Scandinavian countries and parts of Europe.
 E593969 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: Jesper | Statement: [Jesper Christensen, givenName, Jesper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jesper
Context triple: [Jesper Christensen, givenName, Jesper]
  • A. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • 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. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • D. Jeppe
    Jeppe is a Scandinavian masculine given name, commonly used in Denmark and related to names like Jepser or Jepsen.
  • E. Jens
    Jens is a masculine given name commonly used in Scandinavian and German-speaking countries, equivalent to "John" in English.
  • 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: Jesper
Triple: [Jesper Christensen, givenName, Jesper]
Generated description
Jesper is a masculine given name commonly used in Scandinavian countries and parts of Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jesper
Target entity description: Jesper is a masculine given name commonly used in Scandinavian countries and parts of Europe.
  • A. 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.
  • B. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • C. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • D. Jeppe
    Jeppe is a Scandinavian masculine given name, commonly used in Denmark and related to names like Jepser or Jepsen.
  • E. Jens
    Jens is a masculine given name commonly used in Scandinavian and German-speaking countries, equivalent to "John" in English.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698c17ec81909f6bbcbe636a67fd completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bca1e3c81909c50177286b92ce5 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64c5e5e5c8190b24aea7e4114daa5 completed March 27, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_69c64da81a0881908fc5716aeb0e47fa completed March 27, 2026, 9:28 a.m.
Created at: March 22, 2026, 4:46 p.m.