Triple

T10815463
Position Surface form Disambiguated ID Type / Status
Subject Heunisch Weiss E255216 entity
Predicate parentOf P120 FINISHED
Object Petit Rouge
Petit Rouge is a rare red wine grape variety from Italy’s Valle d’Aosta region, known for producing light, fresh, and aromatic mountain wines.
 E887593 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: Petit Rouge | Statement: [Heunisch Weiss, parentOf, Petit Rouge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Petit Rouge
Context triple: [Heunisch Weiss, parentOf, Petit Rouge]
  • A. Madame Rouge
    Madame Rouge is a shape-shifting supervillain and sometimes antihero in DC Comics, best known as a key adversary of the Doom Patrol.
  • B. Paris Blue
    "Paris Blue" is a jazz album by American bassist and composer Kyle Eastwood that showcases his melodic, contemporary approach to modern jazz.
  • C. Mille Fleurs
    Mille Fleurs is a historic estate residence located within the Sands Point Preserve on Long Island’s North Shore.
  • D. Les Violets
    Les Violets is the popular nickname of Toulouse FC, the French professional football club known for its distinctive purple team colors.
  • E. Petite Fleur
    "Petite Fleur" is a famous jazz composition by Sidney Bechet, celebrated as one of his signature melodic clarinet pieces and a standard in traditional jazz repertoire.
  • 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: Petit Rouge
Triple: [Heunisch Weiss, parentOf, Petit Rouge]
Generated description
Petit Rouge is a rare red wine grape variety from Italy’s Valle d’Aosta region, known for producing light, fresh, and aromatic mountain wines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Petit Rouge
Target entity description: Petit Rouge is a rare red wine grape variety from Italy’s Valle d’Aosta region, known for producing light, fresh, and aromatic mountain wines.
  • A. Madame Rouge
    Madame Rouge is a shape-shifting supervillain and sometimes antihero in DC Comics, best known as a key adversary of the Doom Patrol.
  • B. Paris Blue
    "Paris Blue" is a jazz album by American bassist and composer Kyle Eastwood that showcases his melodic, contemporary approach to modern jazz.
  • C. Mille Fleurs
    Mille Fleurs is a historic estate residence located within the Sands Point Preserve on Long Island’s North Shore.
  • D. Les Violets
    Les Violets is the popular nickname of Toulouse FC, the French professional football club known for its distinctive purple team colors.
  • E. Petite Fleur
    "Petite Fleur" is a famous jazz composition by Sidney Bechet, celebrated as one of his signature melodic clarinet pieces and a standard in traditional jazz repertoire.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733edab248190b2cf7f7bc2684468 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8546b41081909e13152c4df2eb1c completed April 14, 2026, 6:19 p.m.
NEDg Description generation batch_69de8955b9d8819086ff98efbff6c7a0 completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8f4a318c819086559fd53506ab29 completed April 14, 2026, 7:02 p.m.
Created at: April 8, 2026, 9:18 p.m.