Triple

T711497
Position Surface form Disambiguated ID Type / Status
Subject Milady de Winter E14216 entity
Predicate alsoKnownAs P39 FINISHED
Object Milady Clarick E14216 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: Milady Clarick | Statement: [Milady de Winter, alsoKnownAs, Milady Clarick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milady Clarick
Context triple: [Milady de Winter, alsoKnownAs, Milady Clarick]
  • A. Milady de Winter chosen
    Milady de Winter is a cunning and dangerous spy and antagonist in Alexandre Dumas' novel "The Three Musketeers," known for her beauty, deceit, and ruthless ambition.
  • B. Maria Magdalena Keverich
    Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
  • C. Kitty Clive
    Kitty Clive was an 18th-century English actress and singer renowned for her comic roles on the London stage, particularly at Drury Lane Theatre.
  • D. Eleanor Black
    Eleanor Black is a fictional character from the television series "The Vampire Diaries," known as a witch and member of the powerful Black family.
  • E. Mary Walsingham
    Mary Walsingham was an English gentlewoman of the 16th century, known primarily as the wife of statesman and Chancellor of the Exchequer Sir Walter Mildmay.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55c99fc8190941c5fd18551792a completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654dcbb688190ab997a3d31ec729a completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:36 p.m.