Triple

T2300609
Position Surface form Disambiguated ID Type / Status
Subject USS Arkansas E51720 entity
Predicate sponsoredBy P67 FINISHED
Object Nancy Louise Macon
Nancy Louise Macon is known for serving as the sponsor of the U.S. Navy battleship USS Arkansas.
 E272415 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: Nancy Louise Macon | Statement: [USS Arkansas, sponsoredBy, Nancy Louise Macon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nancy Louise Macon
Context triple: [USS Arkansas, sponsoredBy, Nancy Louise Macon]
  • A. Dixie Lee
    Dixie Lee was an American singer and actress of the early 20th century, best known for her work in film and music as well as her marriage to Bing Crosby.
  • B. Nellie W. Carter
    Nellie W. Carter was the mother of American actor and entertainer Mickey Rooney.
  • C. Susan Holbert McDaniel
    Susan Holbert McDaniel was the mother of pioneering African American actress Hattie McDaniel, the first Black performer to win an Academy Award.
  • D. Mary C. McCall Jr.
    Mary C. McCall Jr. was a pioneering American screenwriter and one of the first female presidents of the Screen Writers Guild, known for her work in Hollywood during the 1930s and 1940s.
  • E. Cynthia Ann Stanton Baum
    Cynthia Ann Stanton Baum was the mother of American author L. Frank Baum, best known for writing "The Wonderful Wizard of Oz."
  • 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: Nancy Louise Macon
Triple: [USS Arkansas, sponsoredBy, Nancy Louise Macon]
Generated description
Nancy Louise Macon is known for serving as the sponsor of the U.S. Navy battleship USS Arkansas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nancy Louise Macon
Target entity description: Nancy Louise Macon is known for serving as the sponsor of the U.S. Navy battleship USS Arkansas.
  • A. Dixie Lee
    Dixie Lee was an American singer and actress of the early 20th century, best known for her work in film and music as well as her marriage to Bing Crosby.
  • B. Nellie W. Carter
    Nellie W. Carter was the mother of American actor and entertainer Mickey Rooney.
  • C. Susan Holbert McDaniel
    Susan Holbert McDaniel was the mother of pioneering African American actress Hattie McDaniel, the first Black performer to win an Academy Award.
  • D. Mary C. McCall Jr.
    Mary C. McCall Jr. was a pioneering American screenwriter and one of the first female presidents of the Screen Writers Guild, known for her work in Hollywood during the 1930s and 1940s.
  • E. Cynthia Ann Stanton Baum
    Cynthia Ann Stanton Baum was the mother of American author L. Frank Baum, best known for writing "The Wonderful Wizard of Oz."
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5edc1348190a4d84606b1310711 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f78cce88190a74f9ab6a540fe83 completed March 9, 2026, 7:28 p.m.
NEDg Description generation batch_69af208bd8c08190bb7baf0136da163d completed March 9, 2026, 7:33 p.m.
NED2 Entity disambiguation (via description) batch_69af2104b9a481908a6e3ec316deefd3 completed March 9, 2026, 7:35 p.m.
Created at: March 4, 2026, 7:49 p.m.