Triple

T18177809
Position Surface form Disambiguated ID Type / Status
Subject The Kings of Summer E435207 entity
Predicate mainCharacter P1183 FINISHED
Object Joe Toy 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: Joe Toy | Statement: [The Kings of Summer, mainCharacter, Joe Toy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Toy
Context triple: [The Kings of Summer, mainCharacter, Joe Toy]
  • A. Joe Toy chosen
    Joe Toy is the teenage protagonist of the coming-of-age film "The Kings of Summer," who runs away with his friends to build a house in the woods and live independently.
  • B. Joe Higashi
    Joe Higashi is a Muay Thai kickboxer and energetic fighter from SNK’s Fatal Fury and The King of Fighters series, known for his flashy techniques and comedic personality.
  • C. Tom Gorai
    Tom Gorai is a film producer known for his work on the psychological thriller "Arlington Road" and other independent and studio projects.
  • D. Akio
    Akio is a Japanese given name commonly used for males and borne by various notable figures in business, arts, and entertainment.
  • E. John Toon
    John Toon is a cinematographer known for his work on the film "Sunshine Cleaning."
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df5b68f081908aac8210270f1499 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:31 a.m.