Triple

T18162348
Position Surface form Disambiguated ID Type / Status
Subject Antoine, Duke of Brabant E434797 entity
Predicate givenName P17 FINISHED
Object Antoine
Antoine was a medieval French nobleman who held the title of Duke of Brabant in the early 15th century.
 E1310339 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: Antoine | Statement: [Antoine, Duke of Brabant, givenName, Antoine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antoine
Context triple: [Antoine, Duke of Brabant, givenName, Antoine]
  • A. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • B. Antoine
    Antoine is the given name of the French painter and lithographer Carle Vernet, known for his depictions of horses, battles, and Napoleonic campaigns.
  • C. Antoine
    Antoine is a character in Honoré de Balzac’s novel "The Wild Ass's Skin," appearing within its exploration of desire, fate, and the consequences of wish fulfillment.
  • D. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • E. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • 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: Antoine
Triple: [Antoine, Duke of Brabant, givenName, Antoine]
Generated description
Antoine was a medieval French nobleman who held the title of Duke of Brabant in the early 15th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Antoine
Target entity description: Antoine was a medieval French nobleman who held the title of Duke of Brabant in the early 15th century.
  • A. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • B. Antoine
    Antoine is a character in Honoré de Balzac’s novel "The Wild Ass's Skin," appearing within its exploration of desire, fate, and the consequences of wish fulfillment.
  • C. Antoine
    Antoine is the given name of the French painter and lithographer Carle Vernet, known for his depictions of horses, battles, and Napoleonic campaigns.
  • D. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • E. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec32530819099d906640a07e92c completed April 19, 2026, 1:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fc09ae881908ff6e7e8226a19bc completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a03916ab19081909ad8a52c27b4e65e completed May 12, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_6a0392118b84819081252eb438ed5654 completed May 12, 2026, 8:48 p.m.
Created at: April 10, 2026, 10:30 a.m.