Triple

T10115464
Position Surface form Disambiguated ID Type / Status
Subject Bobbsey Twins series E218344 entity
Predicate featuresCharacter P626 FINISHED
Object Flossie Bobbsey E844249 NE FINISHED

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: Flossie Bobbsey | Statement: [Bobbsey Twins series, featuresCharacter, Flossie Bobbsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flossie Bobbsey
Context triple: [Bobbsey Twins series, featuresCharacter, Flossie Bobbsey]
  • A. Freddie Bobbsey
    Freddie Bobbsey is one of the young twin siblings in the classic children's mystery and adventure book series "The Bobbsey Twins."
  • B. Bert Bobbsey
    Bert Bobbsey is one of the twin brothers in the classic children's book series "The Bobbsey Twins," known for his adventurous and energetic personality.
  • C. Nan Bobbsey chosen
    Nan Bobbsey is one of the twin daughters in the classic children's mystery and adventure book series "The Bobbsey Twins."
  • D. Bobbsey family
    The Bobbsey family is a fictional household best known as the focus of the classic children's book series "The Bobbsey Twins," featuring two sets of fraternal twins and their everyday adventures.
  • E. Nellie Bellflower
    Nellie Bellflower is an American actress and film producer best known for producing the acclaimed 2004 film "Finding Neverland."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd161831c81908bb3c77caa7c3ce1 completed April 2, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3174bc46081909d78cdb524625ec3 completed April 6, 2026, 2:15 a.m.
Created at: March 30, 2026, 9:04 p.m.