Triple

T8781682
Position Surface form Disambiguated ID Type / Status
Subject Fred Barker E208744 entity
Predicate placeOfBirth P1 FINISHED
Object Aurora, Missouri E491111 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: Aurora, Missouri | Statement: [Fred Barker, placeOfBirth, Aurora, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurora, Missouri
Context triple: [Fred Barker, placeOfBirth, Aurora, Missouri]
  • A. Augusta, Missouri
    Augusta, Missouri is a small historic town along the Missouri River known for its wineries and role in one of the United States’ earliest designated wine regions.
  • B. Wellington, Missouri
    Wellington, Missouri is a small city situated along the Missouri River in Lafayette County, known for its rural character and historic Midwestern setting.
  • C. Eureka, Missouri
    Eureka, Missouri is a suburban city in the Greater St. Louis area known for being home to the Six Flags St. Louis amusement park.
  • D. Neosho, Missouri
    Neosho, Missouri is a small city in southwestern Missouri known for its historic downtown, natural springs, and role as the county seat of Newton County.
  • E. Aurora, Missouri, United States chosen
    Aurora, Missouri, United States, is a small city in southwest Missouri known historically as a mining community and as the birthplace of gangster Arthur "Doc" Barker.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f55b7b08190ab3e18cd634a144b completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc921d3408190a2f823473bf9b4bc completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:42 p.m.