Triple

T7406616
Position Surface form Disambiguated ID Type / Status
Subject Arbois E170886 entity
Predicate usesGrapeVariety P11949 FINISHED
Object Trousseau
Trousseau is a red wine grape variety from France’s Jura region, known for producing deeply colored, aromatic wines with good structure and aging potential.
 E662396 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: Trousseau | Statement: [Arbois, usesGrapeVariety, Trousseau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trousseau
Context triple: [Arbois, usesGrapeVariety, Trousseau]
  • A. Hipple
    Hipple is the birth surname of American film and television actor Hugh Marlowe.
  • B. Masson-Angers
    Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
  • C. Neebe
    Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
  • D. Barré
    Barré is a French-origin surname borne by various notable individuals in politics, arts, and other fields.
  • E. Leigh-Mallory
    Leigh-Mallory is the surname of a prominent British military family, most notably borne by Air Chief Marshal Trafford Leigh-Mallory, a senior Royal Air Force commander during the Second World War.
  • 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: Trousseau
Triple: [Arbois, usesGrapeVariety, Trousseau]
Generated description
Trousseau is a red wine grape variety from France’s Jura region, known for producing deeply colored, aromatic wines with good structure and aging potential.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trousseau
Target entity description: Trousseau is a red wine grape variety from France’s Jura region, known for producing deeply colored, aromatic wines with good structure and aging potential.
  • A. Hipple
    Hipple is the birth surname of American film and television actor Hugh Marlowe.
  • B. Masson-Angers
    Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
  • C. Neebe
    Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
  • D. Barré
    Barré is a French-origin surname borne by various notable individuals in politics, arts, and other fields.
  • E. Leigh-Mallory
    Leigh-Mallory is the surname of a prominent British military family, most notably borne by Air Chief Marshal Trafford Leigh-Mallory, a senior Royal Air Force commander during the Second World War.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f275c6e481908b4ce9ff1e418296 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111adbf48190a04df3cec1017b39 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c81455967c81909757f42d976b535c completed March 28, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69c814b413a08190b7e5e85d73ddb430 completed March 28, 2026, 5:49 p.m.
Created at: March 27, 2026, 3:10 p.m.