Triple

T10840170
Position Surface form Disambiguated ID Type / Status
Subject Frank X. Leyendecker E255863 entity
Predicate givenName P17 FINISHED
Object Franz
Franz is the given name of Frank X. Leyendecker, an American illustrator known for his magazine covers and advertising art in the early 20th century.
 E895940 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: [Frank X. Leyendecker, givenName, Franz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Franz
Context triple: [Frank X. Leyendecker, 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 one of the central, romantically entangled young protagonists in Jean-Luc Godard’s 1964 French New Wave film "Bande à part."
  • C. Franz
    Franz is a German-language surname of Central European origin borne by various notable individuals.
  • D. Franz
    Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
  • E. Alois
    Alois is a masculine given name of Germanic origin, notably borne by Alois Hitler, the father of Adolf Hitler.
  • 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: [Frank X. Leyendecker, givenName, Franz]
Generated description
Franz is the given name of Frank X. Leyendecker, an American illustrator known for his magazine covers and advertising art in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Franz
Target entity description: Franz is the given name of Frank X. Leyendecker, an American illustrator known for his magazine covers and advertising art in the early 20th century.
  • A. Franz
    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. Franz
    Franz is a German-language surname of Central European origin borne by various notable individuals.
  • D. Franz
    Franz is one of the central, romantically entangled young protagonists in Jean-Luc Godard’s 1964 French New Wave film "Bande à part."
  • E. Alois
    Alois is a masculine given name of Germanic origin, notably borne by Alois Hitler, the father of Adolf Hitler.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7470204548190ba0c724dd9367712 completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b7578688190975c087d28808be5 completed April 17, 2026, 1:53 p.m.
NEDg Description generation batch_69e2453f6f008190847298f4006290f7 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e288b1d64c8190b31313634b706d0a completed April 17, 2026, 7:23 p.m.
Created at: April 8, 2026, 9:19 p.m.