Triple

T1681875
Position Surface form Disambiguated ID Type / Status
Subject Francis of Assisi E36355 entity
Predicate mother P120 FINISHED
Object Pica de Bourlemont
Pica de Bourlemont was a noblewoman of French origin best known as the mother of Saint Francis of Assisi.
E189238 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: Pica de Bourlemont | Statement: [Francis of Assisi, mother, Pica de Bourlemont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pica de Bourlemont
Context triple: [Francis of Assisi, mother, Pica de Bourlemont]
  • A. Brienne-le-Château
    Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
  • B. Petitpierre
    Petitpierre is a historical publishing house known for issuing scientific works, including influential 19th-century studies on fossil fishes.
  • C. Ramillies
    Ramillies is a village in present-day Belgium best known as the site of the 1706 Battle of Ramillies during the War of the Spanish Succession.
  • D. Muret
    Muret is a commune in southwestern France, near Toulouse, known for its historical Battle of Muret in 1213 and its role within the Haute-Garonne department of the Occitanie region.
  • E. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • 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: Pica de Bourlemont
Triple: [Francis of Assisi, mother, Pica de Bourlemont]
Generated description
Pica de Bourlemont was a noblewoman of French origin best known as the mother of Saint Francis of Assisi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pica de Bourlemont
Target entity description: Pica de Bourlemont was a noblewoman of French origin best known as the mother of Saint Francis of Assisi.
  • A. Brienne-le-Château
    Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
  • B. Petitpierre
    Petitpierre is a historical publishing house known for issuing scientific works, including influential 19th-century studies on fossil fishes.
  • C. Ramillies
    Ramillies is a village in present-day Belgium best known as the site of the 1706 Battle of Ramillies during the War of the Spanish Succession.
  • D. Muret
    Muret is a commune in southwestern France, near Toulouse, known for its historical Battle of Muret in 1213 and its role within the Haute-Garonne department of the Occitanie region.
  • E. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627935888190ad793a720bb6cba5 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71bf1998819094d3eb67c6e6bafd completed March 8, 2026, 12:55 p.m.
NEDg Description generation batch_69ad7298ee288190b5e2b7d2ccb17a91 completed March 8, 2026, 12:59 p.m.
NED2 Entity disambiguation (via description) batch_69ad7305c7b48190a8a443dbc20ec9b2 completed March 8, 2026, 1 p.m.
Created at: March 4, 2026, 7:29 p.m.