Triple

T12050436
Position Surface form Disambiguated ID Type / Status
Subject Madame Tussauds E286900 entity
Predicate foundedBy P104 FINISHED
Object Marie Tussaud E302282 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: Marie Tussaud | Statement: [Madame Tussauds, foundedBy, Marie Tussaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie Tussaud
Context triple: [Madame Tussauds, foundedBy, Marie Tussaud]
  • A. Marie Tussaud chosen
    Marie Tussaud was a French artist and entrepreneur best known for creating lifelike wax sculptures and founding the world-famous wax museum that bears her name.
  • B. Nelly Borgeaud
    Nelly Borgeaud was a French actress known for her work in mid-20th-century European cinema and collaborations with prominent directors.
  • C. Marie Salamagne
    Marie Salamagne is a French perfumer known for creating prominent designer fragrances, including co-creating Yves Saint Laurent’s Black Opium.
  • D. Marie-Louise Élisabeth Labouret
    Marie-Louise Élisabeth Labouret was the French innkeeper’s daughter who became the wife of General Thomas-Alexandre Dumas and the mother of novelist Alexandre Dumas.
  • E. Anne Pigalle
    Anne Pigalle is a French-born chanteuse, visual artist, and performer known for her avant-garde style and work in the 1980s London art and music scene.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dd140a48190844f64c228e6367a completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.