Triple

T4659014
Position Surface form Disambiguated ID Type / Status
Subject Franz Ernst Neumann E102481 entity
Predicate givenName P17 FINISHED
Object Franz
Franz is a masculine given name of German origin, commonly used in German-speaking countries and borne by numerous notable historical and cultural figures.
 E112851 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: Franz | Statement: [Franz Ernst Neumann, givenName, Franz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Franz
Context triple: [Franz Ernst Neumann, givenName, Franz]
  • A. Franz
    Franz is a character in Louisa May Alcott's novel "Little Men," one of the boys at Plumfield School whose experiences reflect the book's themes of growth, education, and moral development.
  • B. Franz
    Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
  • C. Alois
    Alois is a masculine given name of Germanic origin, notably borne by Alois Hitler, the father of Adolf Hitler.
  • D. Nikolaus
    Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
  • E. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • 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: Franz
Triple: [Franz Ernst Neumann, givenName, Franz]
Generated description
Franz is a masculine given name of German origin, commonly used in German-speaking countries and borne by numerous notable historical and cultural figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Franz
Target entity description: Franz is a masculine given name of German origin, commonly used in German-speaking countries and borne by numerous notable historical and cultural figures.
  • A. Franz chosen
    Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
  • B. Franz
    Franz is a character in Louisa May Alcott's novel "Little Men," one of the boys at Plumfield School whose experiences reflect the book's themes of growth, education, and moral development.
  • C. Alois
    Alois is a masculine given name of Germanic origin, notably borne by Alois Hitler, the father of Adolf Hitler.
  • D. Nikolaus
    Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
  • E. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • F. None of above.

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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63271a548190bd9662b69a45d9a5 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67b720a481909cea26f0a8662bb0 completed March 21, 2026, 9:41 a.m.
NEDg Description generation batch_69be6a8f7af08190b893f1890edd191e completed March 21, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69be6adb92d881909a76aafd1c64eac8 completed March 21, 2026, 9:54 a.m.
Created at: March 20, 2026, 1:15 p.m.