Triple

T18372147
Position Surface form Disambiguated ID Type / Status
Subject Mary Bono E446206 entity
Predicate spouse P13 FINISHED
Object Connie Mack IV NE NERFINISHED

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: Connie Mack IV | Statement: [Mary Bono, spouse, Connie Mack IV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Connie Mack IV
Context triple: [Mary Bono, spouse, Connie Mack IV]
  • A. Connie Mack IV chosen
    Connie Mack IV is an American Republican politician and former U.S. Representative from Florida who served in Congress from 2005 to 2013.
  • B. Connie Mack III
    Connie Mack III is an American Republican politician who served as a U.S. Representative and later as a U.S. Senator from Florida.
  • C. Connie Mack Jr.
    Connie Mack Jr. is an American Republican politician and former U.S. Representative from Florida, known for his prominent role in a multigenerational political family.
  • D. Connie Mack
    Connie Mack was a legendary Major League Baseball manager and team owner best known for his record-long tenure with the Philadelphia Athletics and for building multiple championship teams in the early 20th century.
  • E. George Kleine
    George Kleine was an early American film producer and distributor who played a key role in the development of the motion picture industry in the early 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51754539c819083f13b85cacb6cce completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:44 a.m.