Triple

T5258309
Position Surface form Disambiguated ID Type / Status
Subject Yvonne Arnaud Theatre E118756 entity
Predicate namedAfter P63 FINISHED
Object Yvonne Arnaud
Yvonne Arnaud was a French-born pianist, singer, and actress who became a popular star of the British stage and screen in the early to mid-20th century.
 E506860 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: Yvonne Arnaud | Statement: [Yvonne Arnaud Theatre, namedAfter, Yvonne Arnaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yvonne Arnaud
Context triple: [Yvonne Arnaud Theatre, namedAfter, Yvonne Arnaud]
  • A. Renée Lees
    Renée Lees was the wife of prominent British philosopher A. J. Ayer.
  • B. Anne Duvivier
    Anne Duvivier was the wife of French statesman Charles Gravier, comte de Vergennes, a key diplomat and foreign minister under King Louis XVI.
  • C. Yvonne Roberts
    Yvonne Roberts is a British journalist and writer known for her work on social issues, politics, and feminism.
  • D. Estelle Ritchie
    Estelle Ritchie was the wife of British Pre-Raphaelite-inspired painter John William Waterhouse, about whom relatively little is documented beyond her marriage to the artist.
  • E. Marie Morgan
    Marie Morgan is a central female character in Ernest Hemingway’s novel and its film adaptation "To Have and Have Not," often depicted as a tough, resourceful, and romantically involved companion to the protagonist.
  • 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: Yvonne Arnaud
Triple: [Yvonne Arnaud Theatre, namedAfter, Yvonne Arnaud]
Generated description
Yvonne Arnaud was a French-born pianist, singer, and actress who became a popular star of the British stage and screen in the early to mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yvonne Arnaud
Target entity description: Yvonne Arnaud was a French-born pianist, singer, and actress who became a popular star of the British stage and screen in the early to mid-20th century.
  • A. Renée Lees
    Renée Lees was the wife of prominent British philosopher A. J. Ayer.
  • B. Anne Duvivier
    Anne Duvivier was the wife of French statesman Charles Gravier, comte de Vergennes, a key diplomat and foreign minister under King Louis XVI.
  • C. Yvonne Roberts
    Yvonne Roberts is a British journalist and writer known for her work on social issues, politics, and feminism.
  • D. Estelle Ritchie
    Estelle Ritchie was the wife of British Pre-Raphaelite-inspired painter John William Waterhouse, about whom relatively little is documented beyond her marriage to the artist.
  • E. Marie Morgan
    Marie Morgan is a central female character in Ernest Hemingway’s novel and its film adaptation "To Have and Have Not," often depicted as a tough, resourceful, and romantically involved companion to the protagonist.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba791c08190a18176feae8d1475 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe821e3c8190a03c8aa581cc23cf completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff55faec8190a75a1b5f339a2c20 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf001f0d9c8190a67909a06ea41898 completed March 21, 2026, 8:31 p.m.
Created at: March 20, 2026, 1:50 p.m.