Triple

T5066471
Position Surface form Disambiguated ID Type / Status
Subject Ma Barker E114155 entity
Predicate child P120 FINISHED
Object Herman Barker E604953 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: Herman Barker | Statement: [Ma Barker, child, Herman Barker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herman Barker
Context triple: [Ma Barker, child, Herman Barker]
  • A. Herman Barker chosen
    Herman Barker was a member of the notorious Barker family, associated with early 20th-century American criminal activity.
  • B. Arthur M. Hyde
    Arthur M. Hyde was an American Republican politician who served as U.S. Secretary of Agriculture and previously as governor of Missouri in the early 20th century.
  • C. George T. Brown
    George T. Brown was an American businessman best known as a founder of the Brown & Williamson tobacco company, which became one of the major U.S. cigarette manufacturers.
  • D. Arthur J. Brown
    Arthur J. Brown was a sports team owner best known for owning the New Jersey Americans basketball franchise, a precursor to the Brooklyn Nets in the American Basketball Association.
  • E. William Heise
    William Heise was an early American cinematographer and camera operator who worked on some of the first motion pictures produced in the late 19th century.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749aceac8190817278266308fd64 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e3ff314c8190b66f8b0a7ae3c039 completed March 27, 2026, 8:09 p.m.
Created at: March 20, 2026, 1:38 p.m.