Triple

T4489404
Position Surface form Disambiguated ID Type / Status
Subject Arthur E107331 entity
Predicate character P662 FINISHED
Object Arthur Read E446961 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: Arthur Read | Statement: [Arthur, character, Arthur Read]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Read
Context triple: [Arthur, character, Arthur Read]
  • A. Arthur Read chosen
    Arthur Read is the bespectacled aardvark protagonist of the children's animated television series "Arthur," known for navigating everyday life lessons with his friends and family.
  • B. Henry Snodgrass
    Henry Snodgrass was an American Major League Baseball outfielder who played in the early 20th century, best remembered for his time with the New York Giants.
  • C. Henry Heath
    Henry Heath is a relatively obscure individual whose name is notably associated with the surname Heath.
  • D. Anthony Peckham
    Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
  • E. Henry Antrobus
    Henry Antrobus is a central figure in Thornton Wilder’s play "The Skin of Our Teeth," representing the turbulent, rebellious son within the allegorical Antrobus family.
  • 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52ad36748190b791de458f2116b2 completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f7f33d08190a247e956193c7eef completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 12:59 p.m.