Triple

T733803
Position Surface form Disambiguated ID Type / Status
Subject Clemens E14886 entity
Predicate hasVariant P455 FINISHED
Object Klemens
Klemens is a given name, primarily used in German-speaking and Central European countries, that corresponds to the Latin-derived name Clemens.
E111656 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: Klemens | Statement: [Clemens, hasVariant, Klemens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klemens
Context triple: [Clemens, hasVariant, Klemens]
  • A. Nikolaus
    Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
  • B. Hans Kraly
    Hans Kraly was a screenwriter active during the silent and early sound film era, known for contributing to notable early 20th-century cinema.
  • C. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • D. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • E. Gregor Strasser
    Gregor Strasser was a prominent early Nazi leader and rival to Adolf Hitler, known for advocating a more socialist-oriented version of National Socialism before being purged and killed during the Night of the Long Knives.
  • 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: Klemens
Triple: [Clemens, hasVariant, Klemens]
Generated description
Klemens is a given name, primarily used in German-speaking and Central European countries, that corresponds to the Latin-derived name Clemens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Klemens
Target entity description: Klemens is a given name, primarily used in German-speaking and Central European countries, that corresponds to the Latin-derived name Clemens.
  • A. Nikolaus
    Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
  • B. Hans Kraly
    Hans Kraly was a screenwriter active during the silent and early sound film era, known for contributing to notable early 20th-century cinema.
  • C. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • D. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • E. Gregor Strasser
    Gregor Strasser was a prominent early Nazi leader and rival to Adolf Hitler, known for advocating a more socialist-oriented version of National Socialism before being purged and killed during the Night of the Long Knives.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5d6cc58819082018cdfa14b37df completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826c4a35081909903e42dfa56d582 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a853f4c7208190b86f59bac6795436 completed March 4, 2026, 3:47 p.m.
NED2 Entity disambiguation (via description) batch_69a854742cc48190960031b7af060369 completed March 4, 2026, 3:49 p.m.
Created at: March 1, 2026, 7:37 p.m.