Triple

T8092535
Position Surface form Disambiguated ID Type / Status
Subject Vernard Eller E188902 entity
Predicate name P16 FINISHED
Object Vernard Eller E188902 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: Vernard Eller | Statement: [Vernard Eller, name, Vernard Eller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vernard Eller
Context triple: [Vernard Eller, name, Vernard Eller]
  • A. Vernard Eller chosen
    Vernard Eller was an American theologian, author, and Church of the Brethren minister known for his influential writings on radical discipleship, simplicity, and the church’s relationship to power.
  • B. Frank Warfield
    Frank Warfield was an American Negro league infielder and manager known for his strong defensive play and leadership during the early 20th century.
  • C. Sherm Lollar
    Sherm Lollar was an American Major League Baseball catcher, best known for his long tenure with the Chicago White Sox, multiple All-Star selections, and strong defensive play in the 1950s.
  • D. David Womark
    David Womark is a film producer best known for his work on major Hollywood features, including the disaster drama "Deepwater Horizon."
  • E. Larry Robinson
    Larry Robinson is an American academic and administrator best known for serving as president of Florida A&M University.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42217a1881909792b08a2f06fb75 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d5b80b48190909ca7775fda2ed9 completed April 2, 2026, 11:04 a.m.
Created at: March 30, 2026, 5:30 p.m.