Triple

T9329907
Position Surface form Disambiguated ID Type / Status
Subject Ludwig Bemelmans E224488 entity
Predicate series P1761 FINISHED
Object Madeline E772670 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: Madeline | Statement: [Ludwig Bemelmans, series, Madeline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeline
Context triple: [Ludwig Bemelmans, series, Madeline]
  • A. Madeline chosen
    Madeline is a feminine given name, often considered a variant of Madeleine, commonly used in English-speaking countries.
  • B. Madeline in London
    Madeline in London is a children's picture book in the beloved Madeline series, following the brave Parisian schoolgirl on an adventurous visit to London.
  • C. Oh Madeline
    Oh Madeline is an early-1980s American sitcom starring Madeline Kahn as a suburban housewife whose attempts to spice up her ordinary life lead to comedic misadventures.
  • D. Madeline and the Bad Hat
    Madeline and the Bad Hat is a classic children's picture book in the Madeline series, following the spirited Parisian schoolgirl as she clashes with and ultimately befriends a mischievous boy next door.
  • E. Madeline's Rescue
    Madeline's Rescue is a classic children's picture book in the Madeline series, written and illustrated by Ludwig Bemelmans, in which a brave dog saves the title character and her classmates in Paris.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37acbc04819092a67d7f392c74cd completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107836c64819099d8f0f73e9b1a4c completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:39 p.m.