Triple

T19266905
Position Surface form Disambiguated ID Type / Status
Subject Francine Frensky E481807 entity
Predicate isFriendOf P8712 FINISHED
Object Arthur Read NE NERFINISHED

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: [Francine Frensky, isFriendOf, Arthur Read]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Read
Context triple: [Francine Frensky, isFriendOf, 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. Frank Readick
    Frank Readick was an American radio and character actor best known for originating the sinister voice of The Shadow on radio in the 1930s.
  • C. Alexander Read
    Alexander Read was a British colonial administrator in India known for pioneering early forms of the ryotwari land revenue system in the late 18th century.
  • D. Roy Read
    Roy Read is the son of notorious Australian criminal-turned-author Mark "Chopper" Read.
  • E. David Read
    David Read is a recurring character in the children's animated television series "Arthur," known as Arthur Read's father.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8d58988190a942627b1fb79285 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.