Triple

T1018095
Position Surface form Disambiguated ID Type / Status
Subject Louise de La Vallière E21977 entity
Predicate givenName P17 FINISHED
Object Françoise
Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
 E146513 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: Françoise | Statement: [Louise de La Vallière, givenName, Françoise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Françoise
Context triple: [Louise de La Vallière, givenName, Françoise]
  • A. Marie-Pierre
    Marie-Pierre is a French given name that can be used for any gender, often associated with notable French figures such as military leader Marie-Pierre Kœnig.
  • B. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • C. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • D. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • E. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • 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: Françoise
Triple: [Louise de La Vallière, givenName, Françoise]
Generated description
Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Françoise
Target entity description: Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • A. Marie-Pierre
    Marie-Pierre is a French given name that can be used for any gender, often associated with notable French figures such as military leader Marie-Pierre Kœnig.
  • B. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • C. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • D. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • E. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c6005081909d9e56114c532d14 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2d9c98481909141f7f8ad9b8c1d completed March 7, 2026, 10:12 p.m.
NEDg Description generation batch_69aca391037c8190b6f256fcd1ac882e completed March 7, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_69aca42e7c74819089666f4940ea6d4d completed March 7, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:41 p.m.