Triple

T20139025
Position Surface form Disambiguated ID Type / Status
Subject Arthur "Doc" Barker E491109 entity
Predicate givenName P17 FINISHED
Object Arthur
Arthur "Doc" Barker was an American criminal and member of the notorious Barker–Karpis gang active during the early 20th century.
E1412972 NE FINISHED

How this triple was built (4 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: Arthur | Statement: [Arthur "Doc" Barker, givenName, Arthur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur
Context triple: [Arthur "Doc" Barker, givenName, Arthur]
  • A. Arthur
    Arthur is the given first name of Dutch Lonborg, an American basketball player and coach.
  • B. Arthur
    Arthur was the eldest son of King Henry VII of England and the first husband of Catherine of Aragon, whose early death paved the way for his brother Henry VIII’s accession to the throne.
  • C. Arthur
    Arthur is the given first name of the renowned English actor and director John Gielgud.
  • D. Arthur
    Arthur is the given name of Arthur Rackham, the renowned British book illustrator celebrated for his distinctive, intricate fantasy artwork in the late 19th and early 20th centuries.
  • E. Arthur
    Arthur is the given first name of Art Stevens, an American animator and film director known for his work with Walt Disney Productions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arthur
Triple: [Arthur "Doc" Barker, givenName, Arthur]
Generated description
Arthur "Doc" Barker was an American criminal and member of the notorious Barker–Karpis gang active during the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arthur
Target entity description: Arthur "Doc" Barker was an American criminal and member of the notorious Barker–Karpis gang active during the early 20th century.
  • A. Arthur
    Arthur Rothstein was a prominent American photojournalist best known for his powerful documentary photographs of the Great Depression and rural life for the Farm Security Administration.
  • B. Arthur
    Arthur is the given name of Arthur Garfield Hays, a prominent American civil liberties lawyer associated with the early American Civil Liberties Union.
  • C. Arthur
    Arthur is the given first name of the renowned American jazz saxophonist Art Pepper.
  • D. Arthur
    Arthur is the given first name of the influential American jazz drummer Zutty Singleton, a key figure in early New Orleans jazz.
  • E. Arthur
    Arthur M. Sackler was an American psychiatrist, art collector, and philanthropist known for his influential role in medical advertising and for his extensive donations to major art institutions.
  • F. None of above. chosen

Provenance (5 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667698a188190869c18b925dba2ed completed April 20, 2026, 5:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082dddf6388190b765f9092d2f035a completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082e93a1e88190bac5daae12ece9f2 completed May 16, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a082f334dd481908edb6ea3ae07e0a7 completed May 16, 2026, 8:47 a.m.
Created at: April 11, 2026, 11:32 p.m.