Triple

T7202153
Position Surface form Disambiguated ID Type / Status
Subject Karl Hermann Frank E168773 entity
Predicate familyName P18 FINISHED
Object Frank
Frank is a common German and English surname borne by numerous notable individuals across politics, arts, sciences, and other fields.
E203979 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: Frank | Statement: [Karl Hermann Frank, familyName, Frank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank
Context triple: [Karl Hermann Frank, familyName, Frank]
  • A. Frank
    Frank is the given name of the American painter, sculptor, and printmaker Frank Stella, a leading figure in minimalism and post-painterly abstraction.
  • B. Frank
    Frank is the given name of the renowned Canadian-American architect Frank Gehry, celebrated for his deconstructivist and sculptural building designs.
  • C. Frank
    Frank is a key supporting character in the post-apocalyptic horror film "28 Days Later," known as a protective father trying to keep his daughter safe amid a devastating viral outbreak in London.
  • D. Frank
    Frank is the given name of Frank Abagnale Jr., the infamous former con artist whose life inspired the film "Catch Me If You Can."
  • E. Frank
    Frank is the given name of British screenwriter and children's author Frank Cottrell-Boyce.
  • 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: Frank
Triple: [Karl Hermann Frank, familyName, Frank]
Generated description
Frank is a common German and English surname borne by numerous notable individuals across politics, arts, sciences, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frank
Target entity description: Frank is a common German and English surname borne by numerous notable individuals across politics, arts, sciences, and other fields.
  • A. Frank chosen
    Frank is a common surname of Germanic origin borne by numerous notable individuals across politics, arts, and other fields.
  • B. Frank
    Frank is a masculine given name of Germanic origin meaning "free man," commonly used in English-speaking countries.
  • C. Frank
    Frank is the given name of Frank Lampard, the renowned English former professional footballer and manager.
  • D. Frank
    Frank is the given name of Frank Oz, the renowned puppeteer, actor, and director best known for his work with the Muppets and on Star Wars.
  • E. Frank
    Frank is the given name of Frank H. Westheimer, a prominent American chemist known for his influential work in physical organic chemistry.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e94a9ee4819086de79fcdfa1836a completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfb0f4688190a677b818a0b3619c completed March 28, 2026, 11:46 a.m.
NEDg Description generation batch_69c7c09957d881909847e8bf3cf25b92 completed March 28, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7c124c70081909d7df2e5cc6c6cbb completed March 28, 2026, 11:53 a.m.
Created at: March 27, 2026, 2:52 p.m.