Triple

T3141123
Position Surface form Disambiguated ID Type / Status
Subject Folies Bergère E65645 entity
Predicate featuredPerformer P17435 FINISHED
Object Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
 E332654 NE FINISHED

How this triple was built (4 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: Mistinguett | Statement: [Folies Bergère, featuredPerformer, Mistinguett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mistinguett
Context triple: [Folies Bergère, featuredPerformer, Mistinguett]
  • A. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • B. Meesseman
    Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
  • C. Dugommier
    Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
  • D. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • E. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mistinguett
Triple: [Folies Bergère, featuredPerformer, Mistinguett]
Generated description
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mistinguett
Target entity description: Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • A. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • B. Meesseman
    Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
  • C. Dugommier
    Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
  • D. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • E. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • F. None of above. chosen

Provenance (5 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada57895dc8190bd3d4ef9391973dc completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e4df38819089d0a11016a85ad8 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b228c1b568819088dc5ce4a15fedc2 completed March 12, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69b22ccd34a8819089e207b6ee1f634a completed March 12, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:05 p.m.