Triple

T17873256
Position Surface form Disambiguated ID Type / Status
Subject Hansel & Gretel E446886 entity
Predicate basedOn P98 FINISHED
Object Hansel and Gretel 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: Hansel and Gretel | Statement: [Hansel & Gretel, basedOn, Hansel and Gretel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hansel and Gretel
Context triple: [Hansel & Gretel, basedOn, Hansel and Gretel]
  • A. Hansel & Gretel chosen
    Hansel & Gretel is a popular ballet adaptation of the classic Brothers Grimm fairy tale about two siblings who outwit a witch in a magical forest.
  • B. Gänseliesel
    Gänseliesel is a famous fountain statue in Göttingen, Germany, traditionally kissed by newly graduated students and considered one of the city’s most beloved landmarks.
  • C. Onkel Hans
    Onkel Hans is the jovial, lederhosen-clad mascot character symbolizing the Bavarian-themed spirit of the Kitchener-Waterloo Oktoberfest in Ontario, Canada.
  • D. Little Red Riding Hood
    Little Red Riding Hood is a classic European fairy-tale character, typically portrayed as a young girl in a red hooded cloak who encounters a wolf while visiting her grandmother.
  • E. Rumpelstiltskin
    Rumpelstiltskin is a classic fairy-tale villain known for his magical ability to spin straw into gold and his habit of striking dangerous bargains that hinge on discovering his secret name.
  • 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_69e49aa4959881908774dafb7be99191 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.