Triple

T8597239
Position Surface form Disambiguated ID Type / Status
Subject Vidal blanc E203581 entity
Predicate alsoKnownAs P39 FINISHED
Object Vidal
Vidal is a hardy hybrid white wine grape variety widely used for producing aromatic table wines and ice wines, particularly in cooler climates.
 E746313 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: Vidal | Statement: [Vidal blanc, alsoKnownAs, Vidal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vidal
Context triple: [Vidal blanc, alsoKnownAs, Vidal]
  • A. Vidal
    Vidal is a river flowing through the Occitanie region in southern France.
  • B. Gaston Vidal
    Gaston Vidal was a French sports official and politician known for delivering the Olympic Oath at the 1924 Summer Olympics in Paris.
  • C. Cintio Vitier
    Cintio Vitier was a prominent Cuban poet, essayist, and literary critic recognized as one of the leading figures of 20th-century Cuban literature.
  • D. A. J. Humbert
    A. J. Humbert was a 19th-century British architect known for his work on royal residences, including commissions for the British royal family.
  • E. Francis Carco
    Francis Carco was a French novelist, poet, and journalist associated with bohemian Paris and known for his gritty, atmospheric depictions of urban life and the criminal underworld.
  • 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: Vidal
Triple: [Vidal blanc, alsoKnownAs, Vidal]
Generated description
Vidal is a hardy hybrid white wine grape variety widely used for producing aromatic table wines and ice wines, particularly in cooler climates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vidal
Target entity description: Vidal is a hardy hybrid white wine grape variety widely used for producing aromatic table wines and ice wines, particularly in cooler climates.
  • A. Vidal
    Vidal is a river flowing through the Occitanie region in southern France.
  • B. Gaston Vidal
    Gaston Vidal was a French sports official and politician known for delivering the Olympic Oath at the 1924 Summer Olympics in Paris.
  • C. Cintio Vitier
    Cintio Vitier was a prominent Cuban poet, essayist, and literary critic recognized as one of the leading figures of 20th-century Cuban literature.
  • D. A. J. Humbert
    A. J. Humbert was a 19th-century British architect known for his work on royal residences, including commissions for the British royal family.
  • E. Francis Carco
    Francis Carco was a French novelist, poet, and journalist associated with bohemian Paris and known for his gritty, atmospheric depictions of urban life and the criminal underworld.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46cacbe88190b95beeedc9f480b0 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8d3fcfc8190bc51a38715ed453e completed April 2, 2026, 5:35 p.m.
NEDg Description generation batch_69ceac90764c81908c349729bd22a9af completed April 2, 2026, 5:51 p.m.
NED2 Entity disambiguation (via description) batch_69cead4a4f148190aa39e774528730c9 completed April 2, 2026, 5:54 p.m.
Created at: March 30, 2026, 6:24 p.m.