Triple

T18911381
Position Surface form Disambiguated ID Type / Status
Subject De La Noye E462615 entity
Predicate hasVariantSpelling P457 FINISHED
Object de Lannoy E81506 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: de Lannoy | Statement: [De La Noye, hasVariantSpelling, de Lannoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Lannoy
Context triple: [De La Noye, hasVariantSpelling, de Lannoy]
  • A. de Lannoy chosen
    De Lannoy is a European-origin surname historically associated with noble lineages and later anglicized in America as "Delano," notably borne by ancestors of U.S. President Franklin Delano Roosevelt.
  • B. Lannoy
    Lannoy is a French toponymic surname originating from a place of the same name, historically associated with noble families in France and the Low Countries.
  • C. Boutersem
    Boutersem is a municipality in the Flemish Brabant province of Belgium, located in the Arrondissement of Leuven.
  • D. Le Clercq
    Le Clercq is the surname of Tanaquil Le Clercq, the renowned mid-20th-century American ballerina associated with the New York City Ballet.
  • E. An D’Huys
    An D’Huys is a costume designer known for her work on the stage adaptation of "All About Eve" and other prominent theatre and film productions.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c6226f4081909b77aac26c574980 completed April 20, 2026, 6:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05910ffc8081908738b5e7ef08d52c completed May 14, 2026, 9:08 a.m.
Created at: April 10, 2026, 11:58 a.m.