Triple

T14904534
Position Surface form Disambiguated ID Type / Status
Subject Désiré Keteleer E360093 entity
Predicate givenName P17 FINISHED
Object Désiré
Désiré is a masculine given name of French origin, commonly used in French-speaking countries.
E1126729 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: Désiré | Statement: [Désiré Keteleer, givenName, Désiré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Désiré
Context triple: [Désiré Keteleer, givenName, Désiré]
  • A. Léonce
    Léonce is a French masculine given name of Latin origin, commonly used in France and other Francophone regions.
  • B. Jules
    Jules is a central, free-spirited yet troubled young woman in the 1985 coming-of-age film "St. Elmo's Fire," known for her glamorous lifestyle and emotional struggles.
  • C. Jules
    Jules is the central protagonist of Arnold Bennett's novel "The Grand Babylon Hotel," around whom the story's intrigue and events revolve.
  • D. Jules
    Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
  • E. Jules
    Jules is a character in the musical "Sunday in the Park with George," serving as a foil to the artist George and representing the conventional art world's values and commercial success.
  • 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: Désiré
Triple: [Désiré Keteleer, givenName, Désiré]
Generated description
Désiré is a masculine given name of French origin, commonly used in French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Désiré
Target entity description: Désiré is a masculine given name of French origin, commonly used in French-speaking countries.
  • A. Léonce
    Léonce is a French masculine given name of Latin origin, commonly used in France and other Francophone regions.
  • B. Jules
    Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
  • C. Jules
    Jules is a central, free-spirited yet troubled young woman in the 1985 coming-of-age film "St. Elmo's Fire," known for her glamorous lifestyle and emotional struggles.
  • D. Jules
    Jules is a supporting character in the romantic comedy film "Chalet Girl," involved in the story’s ski-resort setting and social drama.
  • E. Jules
    Jules is a character in Robert Browning's verse drama "Pippa Passes," serving as one of the figures whose life is subtly influenced by the innocent songs of the protagonist, Pippa.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60cd5588190b1efecc2b220da69 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b4e4f88190af7e859d93dbbd28 completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe7360c11481908e2e5127b466e31b completed May 8, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_69fe743c37308190a045ef5f0ade8508 completed May 8, 2026, 11:39 p.m.
Created at: April 10, 2026, 2:12 a.m.