Triple

T13590703
Position Surface form Disambiguated ID Type / Status
Subject Hennessy E324684 entity
Predicate notableProduct P1448 FINISHED
Object Paradis
Paradis is an ultra-premium cognac from Hennessy, renowned for its exceptionally smooth blend of rare, well-aged eaux-de-vie.
 E1048349 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: Paradis | Statement: [Hennessy, notableProduct, Paradis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paradis
Context triple: [Hennessy, notableProduct, Paradis]
  • A. Paradisa
    Paradisa is a fictional idealized realm often depicted as a perfect, blissful paradise within the broader concept of Utopia.
  • B. Paraiso
    Paraiso is a former Canal Zone town in Panama that historically housed workers and facilities supporting the operation and maintenance of the nearby Panama Canal.
  • C. Paradeisi
    Paradeisi is a village on the Greek island of Rhodes, known as a nearby access point to the popular Valley of the Butterflies nature reserve.
  • D. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • E. Parnans
    Parnans is a small commune in southeastern France, located in the Drôme department within the Auvergne-Rhône-Alpes region.
  • 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: Paradis
Triple: [Hennessy, notableProduct, Paradis]
Generated description
Paradis is an ultra-premium cognac from Hennessy, renowned for its exceptionally smooth blend of rare, well-aged eaux-de-vie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paradis
Target entity description: Paradis is an ultra-premium cognac from Hennessy, renowned for its exceptionally smooth blend of rare, well-aged eaux-de-vie.
  • A. Paradisa
    Paradisa is a fictional idealized realm often depicted as a perfect, blissful paradise within the broader concept of Utopia.
  • B. Paraiso
    Paraiso is a former Canal Zone town in Panama that historically housed workers and facilities supporting the operation and maintenance of the nearby Panama Canal.
  • C. Paradeisi
    Paradeisi is a village on the Greek island of Rhodes, known as a nearby access point to the popular Valley of the Butterflies nature reserve.
  • D. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • E. Parnans
    Parnans is a small commune in southeastern France, located in the Drôme department within the Auvergne-Rhône-Alpes region.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb055cc98819091fab597b69e5e3e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc578908190abd5cca94b1c3a5c completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77642e4b881909915c686a0d6c6fa completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7791add908190af69b23a54eb7560 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:49 p.m.