Triple

T7496912
Position Surface form Disambiguated ID Type / Status
Subject Madame du Barry E177153 entity
Predicate placeOfBirth P1 FINISHED
Object Vaucouleurs
Vaucouleurs is a historic commune in northeastern France, known for its medieval heritage and its association with figures such as Joan of Arc.
 E668600 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: Vaucouleurs | Statement: [Madame du Barry, placeOfBirth, Vaucouleurs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vaucouleurs
Context triple: [Madame du Barry, placeOfBirth, Vaucouleurs]
  • A. Étoile
    Étoile was the former name of the Paris Métro station now known as Charles de Gaulle–Étoile, located near the Arc de Triomphe at Place Charles de Gaulle.
  • B. Arago
    Arago was a prominent 19th-century French physicist, astronomer, and politician known for his work on optics, electromagnetism, and the popularization of science.
  • C. Damour
    Damour is a coastal town in Lebanon, historically notable as the site of the Battle of Damour during the Lebanese Civil War.
  • D. Barnard
    Barnard is a surname and given name of English and French origin, borne by various notable individuals and institutions.
  • E. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • 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: Vaucouleurs
Triple: [Madame du Barry, placeOfBirth, Vaucouleurs]
Generated description
Vaucouleurs is a historic commune in northeastern France, known for its medieval heritage and its association with figures such as Joan of Arc.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vaucouleurs
Target entity description: Vaucouleurs is a historic commune in northeastern France, known for its medieval heritage and its association with figures such as Joan of Arc.
  • A. Étoile
    Étoile was the former name of the Paris Métro station now known as Charles de Gaulle–Étoile, located near the Arc de Triomphe at Place Charles de Gaulle.
  • B. Arago
    Arago was a prominent 19th-century French physicist, astronomer, and politician known for his work on optics, electromagnetism, and the popularization of science.
  • C. Damour
    Damour is a coastal town in Lebanon, historically notable as the site of the Battle of Damour during the Lebanese Civil War.
  • D. Barnard
    Barnard is a surname and given name of English and French origin, borne by various notable individuals and institutions.
  • E. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5963d98819098275b161848d2d4 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c8686cc8190bb1f7b09cdbebcf7 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e31d54c8190aed9279181f1db2b completed March 28, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69c83ef9ce408190907a62c9d0a6dc16 completed March 28, 2026, 8:50 p.m.
Created at: March 27, 2026, 3:44 p.m.