Triple

T16715302
Position Surface form Disambiguated ID Type / Status
Subject Ferriday, Louisiana E406208 entity
Predicate hasNotablePerson P304 FINISHED
Object Jimmy Swaggart E406212 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: Jimmy Swaggart | Statement: [Ferriday, Louisiana, hasNotablePerson, Jimmy Swaggart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy Swaggart
Context triple: [Ferriday, Louisiana, hasNotablePerson, Jimmy Swaggart]
  • A. Jimmy Swaggart chosen
    Jimmy Swaggart is an American Pentecostal televangelist, gospel music performer, and founder of the SonLife Broadcasting Network, known for his influential ministry and high-profile scandals in the 1980s and 1990s.
  • B. Steve Christian
    Steve Christian is a film producer known for his work on projects such as the biographical drama "Goodbye Christopher Robin."
  • C. Carl Pickens
    Carl Pickens is a former American football wide receiver best known for his Pro Bowl career with the Cincinnati Bengals in the 1990s.
  • D. John Batchelor
    John Batchelor is an Australian actor known for his work in film, television, and theatre.
  • E. Kevin Dobson
    Kevin Dobson was an American actor best known for his television roles in series such as Kojak and Knots Landing.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38655b54c81908c2cf7b42df996a4 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091ab9e54819097e71ce1616b28b5 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:20 a.m.