Triple

T8983392
Position Surface form Disambiguated ID Type / Status
Subject Franz Halder E214590 entity
Predicate givenName P17 FINISHED
Object Franz
Franz is a masculine given name of German origin, historically borne by numerous notable figures in Central Europe.
 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 Halder, givenName, Franz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Franz
Context triple: [Franz Halder, 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 a German-language surname of Central European origin borne by various notable individuals.
  • C. Franz
    Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
  • D. Alois
    Alois is a masculine given name of Germanic origin, notably borne by Alois Hitler, the father of Adolf Hitler.
  • E. Nikolaus
    Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
  • 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 Halder, givenName, Franz]
Generated description
Franz is a masculine given name of German origin, historically borne by numerous notable figures in Central Europe.
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, historically borne by numerous notable figures in Central Europe.
  • 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. Franz
    Franz is a German-language surname of Central European origin borne by various notable individuals.
  • D. Alois
    Alois is a masculine given name of Germanic origin, notably borne by Alois Hitler, the father of Adolf Hitler.
  • E. Nikolaus
    Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67eb3cfc8190900a8253cc44621c completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb44b97c81908704d9ecf778010e completed April 3, 2026, 4:31 p.m.
NEDg Description generation batch_69cfefc9e08881908673b8997492a248 completed April 3, 2026, 4:50 p.m.
NED2 Entity disambiguation (via description) batch_69cff019d2788190995d60db13d04231 completed April 3, 2026, 4:51 p.m.
Created at: March 30, 2026, 7:03 p.m.