Triple

T7993549
Position Surface form Disambiguated ID Type / Status
Subject Frances Clara Folsom E186066 entity
Predicate alsoKnownAs P39 FINISHED
Object Frank
Frank is a nickname for Frances Clara Folsom, who was the wife of U.S. President Grover Cleveland and served as First Lady of the United States.
E703773 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: [Frances Clara Folsom, alsoKnownAs, Frank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank
Context triple: [Frances Clara Folsom, alsoKnownAs, Frank]
  • A. 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.
  • B. 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."
  • C. Frank
    Frank is the given name of British screenwriter and children's author Frank Cottrell-Boyce.
  • D. Frank
    Frank is the given name of British former professional heavyweight boxer Frank Bruno, a popular sports figure especially known in the UK.
  • E. Frank
    Frank is an alternate given name of longtime Republican U.S. Congressman Jim Sensenbrenner, who represented a Wisconsin district in the House of Representatives for four decades.
  • 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: [Frances Clara Folsom, alsoKnownAs, Frank]
Generated description
Frank is a nickname for Frances Clara Folsom, who was the wife of U.S. President Grover Cleveland and served as First Lady of the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frank
Target entity description: Frank is a nickname for Frances Clara Folsom, who was the wife of U.S. President Grover Cleveland and served as First Lady of the United States.
  • A. Frank
    Frank is the given name of Frank B. Kellogg, an American lawyer, diplomat, and Nobel Peace Prize–winning U.S. Secretary of State.
  • B. Frank
    Frank is the given name of Frank McCourt, the Irish-American teacher and Pulitzer Prize–winning author best known for his memoir "Angela’s Ashes."
  • C. Frank
    Frank is the given name of Frank Lautenberg, a long-serving United States Senator from New Jersey known for his work on public health and transportation safety.
  • D. Frank
    Frank is the nickname of Frank Sheeran, an American labor union official and alleged mob hitman whose life inspired the film "The Irishman."
  • E. 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.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c729afc81909d477b1623ac3f9d completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdff156c481909a32be8828f407ad completed March 31, 2026, 2:53 p.m.
NEDg Description generation batch_69cbe440a66c8190a5d5b417fb5082b7 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc338a1c48819086ece073e04e8fa6 completed March 31, 2026, 8:50 p.m.
Created at: March 30, 2026, 5:16 p.m.