Triple

T2015454
Position Surface form Disambiguated ID Type / Status
Subject Dominique Gisin E43784 entity
Predicate familyName P18 FINISHED
Object Gisin
Gisin is a Swiss surname most notably associated with alpine ski racers such as Olympic champion Dominique Gisin.
 E225794 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: Gisin | Statement: [Dominique Gisin, familyName, Gisin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gisin
Context triple: [Dominique Gisin, familyName, Gisin]
  • A. Roussel
    Roussel is a surname of French origin, often used as an alternative spelling of Russell.
  • B. Bruno Poet
    Bruno Poet is an acclaimed British lighting designer known for his innovative work in theatre, opera, and live music productions.
  • C. Gauthier
    Gauthier is a French given name and surname, equivalent to the English name Walter and historically borne by various notable figures in France and other Francophone regions.
  • D. Alexandrine de Bleschamp
    Alexandrine de Bleschamp was a Frenchwoman best known as the second wife of Lucien Bonaparte, brother of Napoleon I, and a member of the extended Bonaparte family.
  • E. Jules Laforgue
    Jules Laforgue was a French Symbolist poet known for his innovative free verse, ironic tone, and pioneering use of interior monologue that deeply influenced modernist literature.
  • 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: Gisin
Triple: [Dominique Gisin, familyName, Gisin]
Generated description
Gisin is a Swiss surname most notably associated with alpine ski racers such as Olympic champion Dominique Gisin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gisin
Target entity description: Gisin is a Swiss surname most notably associated with alpine ski racers such as Olympic champion Dominique Gisin.
  • A. Roussel
    Roussel is a surname of French origin, often used as an alternative spelling of Russell.
  • B. Bruno Poet
    Bruno Poet is an acclaimed British lighting designer known for his innovative work in theatre, opera, and live music productions.
  • C. Gauthier
    Gauthier is a French given name and surname, equivalent to the English name Walter and historically borne by various notable figures in France and other Francophone regions.
  • D. Alexandrine de Bleschamp
    Alexandrine de Bleschamp was a Frenchwoman best known as the second wife of Lucien Bonaparte, brother of Napoleon I, and a member of the extended Bonaparte family.
  • E. Jules Laforgue
    Jules Laforgue was a French Symbolist poet known for his innovative free verse, ironic tone, and pioneering use of interior monologue that deeply influenced modernist literature.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8cb16048190bc626685fbb5f707 completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aef0fe88190adf9cd218cf7d8b4 completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0c1ea0388190b44af2223517129e completed March 8, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c7719e881909059cef2c513a05a completed March 8, 2026, 11:55 p.m.
Created at: March 4, 2026, 7:37 p.m.