Triple

T21090721
Position Surface form Disambiguated ID Type / Status
Subject George's Marvellous Medicine E519629 entity
Predicate hasCharacter P2308 FINISHED
Object George Kranky 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: George Kranky | Statement: [George's Marvellous Medicine, hasCharacter, George Kranky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Kranky
Context triple: [George's Marvellous Medicine, hasCharacter, George Kranky]
  • A. George Kranky chosen
    George Kranky is the mischievous young boy in Roald Dahl’s children’s book who concocts a fantastical medicine to try to change his bad-tempered grandmother.
  • B. Howard Finster
    Howard Finster was an American folk and outsider artist and Baptist minister known for his visionary paintings and elaborate art environment Paradise Garden.
  • C. Jack Kruschen
    Jack Kruschen was a Canadian-born character actor known for his prolific work in film, television, and radio, including an Oscar-nominated role in "The Apartment" (1960).
  • D. Herman Rarebell
    Herman Rarebell is a German rock drummer and songwriter best known for his long tenure with the hard rock band Scorpions during their most successful years.
  • E. Wil Horneff
    Wil Horneff is an American actor best known for his roles in 1990s film and television, including notable appearances in family and genre productions.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094ea7f881909db83bf6961b41ec completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:50 p.m.