Triple

T9405109
Position Surface form Disambiguated ID Type / Status
Subject Jimmie Allen E226566 entity
Predicate givenName P17 FINISHED
Object Jimmie E44408 NE FINISHED

How this triple was built (2 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: Jimmie | Statement: [Jimmie Allen, givenName, Jimmie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmie
Context triple: [Jimmie Allen, givenName, Jimmie]
  • A. Jimmie chosen
    Jimmie is a masculine given name, often a diminutive of James, used by various notable figures including musicians and athletes.
  • B. Jimmie Bones
    Jimmie Bones is an American musician and producer best known as the longtime keyboardist and collaborator for Kid Rock.
  • C. Jimmie Gumm
    Jimmie Gumm is a member of the Gumm family, known primarily as a sibling of Mary Jane Gumm, part of the family connected to entertainer Judy Garland.
  • D. Jimbo
    Jimbo is an American college football coach best known for leading Florida State University to a national championship and later coaching at Texas A&M.
  • E. Sunny Jim
    Sunny Jim was the popular nickname of James Rolph, a prominent early 20th-century California politician who served as mayor of San Francisco and later governor of California.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51c125dc8190a6438cf0ee23e7a9 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1013279d88190aac1d25cc6aeb1fb completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:46 p.m.