Triple

T9030875
Position Surface form Disambiguated ID Type / Status
Subject Madeline Bell E216167 entity
Predicate givenName P17 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: [Madeline Bell, givenName, Madeline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeline
Context triple: [Madeline Bell, givenName, Madeline]
  • A. Madeline chosen
    Madeline is a feminine given name, often considered a variant of Madeleine, commonly used in English-speaking countries.
  • B. 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.
  • C. Matilda
    Matilda was the regnal name of Edith of Scotland, who became Queen consort of England as the wife of King Henry I.
  • D. Matilda
    Matilda is a feminine given name of Germanic origin, commonly associated with strength and battle might and borne by various notable historical and contemporary figures.
  • E. Matilda
    Matilda is the middle name of Louisa Matilda Jacobs, an African American writer and activist and the daughter of abolitionist author Harriet Jacobs.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9e0aa881908886f453c51ecd0e completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffda9697c81908a1a9e447519ce05 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:08 p.m.