Triple

T8033279
Position Surface form Disambiguated ID Type / Status
Subject Empress Eugénie E187038 entity
Predicate givenName P17 FINISHED
Object Eugénie
Eugénie was the Empress of the French as the wife of Napoleon III and a prominent political and cultural figure of the Second French Empire.
 E709207 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: Eugénie | Statement: [Empress Eugénie, givenName, Eugénie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eugénie
Context triple: [Empress Eugénie, givenName, Eugénie]
  • A. Eugenie
    Eugenie is a member of the British royal family, best known as Princess Eugenie of York, the younger daughter of Prince Andrew and Sarah, Duchess of York.
  • B. Eugenie
    Eugenie is the birth name of American silent-film star Billie Dove, a popular actress of the 1920s and early 1930s.
  • C. Eugénie Savoye
    Eugénie Savoye was a French client and member of the Savoye family who commissioned Le Corbusier to design the iconic modernist Villa Savoye.
  • D. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • E. Émilie
    Émilie is the given first name of the French-born American actress Claudette Colbert, a major Hollywood star of the 1930s and 1940s.
  • 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: Eugénie
Triple: [Empress Eugénie, givenName, Eugénie]
Generated description
Eugénie was the Empress of the French as the wife of Napoleon III and a prominent political and cultural figure of the Second French Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eugénie
Target entity description: Eugénie was the Empress of the French as the wife of Napoleon III and a prominent political and cultural figure of the Second French Empire.
  • A. Eugenie
    Eugenie is a member of the British royal family, best known as Princess Eugenie of York, the younger daughter of Prince Andrew and Sarah, Duchess of York.
  • B. Eugenie
    Eugenie is the birth name of American silent-film star Billie Dove, a popular actress of the 1920s and early 1930s.
  • C. Eugénie Savoye
    Eugénie Savoye was a French client and member of the Savoye family who commissioned Le Corbusier to design the iconic modernist Villa Savoye.
  • D. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • E. Émilie
    Émilie is the given first name of the French-born American actress Claudette Colbert, a major Hollywood star of the 1930s and 1940s.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef3e6848190913c4b1bef506aae completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63cb39a48190b4d987295b5aa1b2 completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651b4be08190ad76c70b1d617c1a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc664700dc819097d149931cf49673 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:22 p.m.