Triple

T17876255
Position Surface form Disambiguated ID Type / Status
Subject Arthur Read E446961 entity
Predicate friend P8712 FINISHED
Object Binky Barnes 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: Binky Barnes | Statement: [Arthur Read, friend, Binky Barnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binky Barnes
Context triple: [Arthur Read, friend, Binky Barnes]
  • A. Binky Barnes chosen
    Binky Barnes is a tough-looking but secretly sensitive bulldog character from the children's animated series "Arthur," where he is one of Arthur's classmates and sometimes a bully-turned-friend.
  • B. Binkie Beaumont
    Binkie Beaumont was a prominent British theatrical producer and manager known for his influential role in mid-20th-century West End theatre.
  • C. Melody Barnes
    Melody Barnes is an American lawyer and policy expert who served as President Barack Obama’s chief domestic policy adviser and director of the White House Domestic Policy Council.
  • D. Billie Brockwell
    Billie Brockwell was an American silent film actress and the mother of actress Gladys Brockwell.
  • E. Bunny Yeager
    Bunny Yeager was an influential American pin-up model turned photographer, best known for her iconic 1950s glamour and bikini photographs that helped popularize models like Bettie Page.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa614b48190bdc9e905e9e6d5e0 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.