Triple

T16280744
Position Surface form Disambiguated ID Type / Status
Subject Port-Royal Abbey E395255 entity
Predicate foundedBy P104 FINISHED
Object Mathilde de Garlande E406252 NE FINISHED

How this triple was built (2 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: Mathilde de Garlande | Statement: [Port-Royal Abbey, foundedBy, Mathilde de Garlande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mathilde de Garlande
Context triple: [Port-Royal Abbey, foundedBy, Mathilde de Garlande]
  • A. Mathilde de Garlande chosen
    Mathilde de Garlande was a medieval French noblewoman best known for founding the religious community that later became the influential Jansenist abbey of Port-Royal.
  • B. Mathilde Deslonde
    Mathilde Deslonde was a 19th-century Louisiana Creole woman best known as the wife of American politician and Confederate diplomat John Slidell.
  • C. Mathilde Mauté
    Mathilde Mauté was the wife and muse of French poet Paul Verlaine, known primarily through her portrayal in accounts of his tumultuous life and relationships.
  • D. Mathilde Bonnefoy
    Mathilde Bonnefoy is a German film editor and producer best known for her work on acclaimed documentaries and feature films, including the Oscar-winning "Citizenfour."
  • E. Mathilde Seigner
    Mathilde Seigner is a French actress known for her work in contemporary French cinema, often portraying strong, down-to-earth female characters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24611926c81909b276ca3f406f15d completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c48e5c8190a387a4158362417a completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.