Triple

T3081338
Position Surface form Disambiguated ID Type / Status
Subject Bernard Arnault E64261 entity
Predicate businessInterest P3849 FINISHED
Object Hennessy
Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
 E324684 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: Hennessy | Statement: [Bernard Arnault, businessInterest, Hennessy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hennessy
Context triple: [Bernard Arnault, businessInterest, Hennessy]
  • A. Hennessy
    Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
  • B. Cognac
    Cognac is a renowned French town in the Charente department, famous worldwide as the center of production for the eponymous brandy.
  • C. Ballantine
    Ballantine is the surname of the individual after whom the prestigious Stuart Ballantine Medal for scientific and engineering achievement is named.
  • D. Cider & Hennessy
    Cider & Hennessy is a music release by American singer Jordin Sparks, showcasing her blend of R&B and pop influences.
  • E. Krug
    Krug is the traditional Cossack communal assembly that served as their highest decision-making and self-governing body.
  • 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: Hennessy
Triple: [Bernard Arnault, businessInterest, Hennessy]
Generated description
Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hennessy
Target entity description: Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
  • A. Hennessy
    Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
  • B. Cognac
    Cognac is a renowned French town in the Charente department, famous worldwide as the center of production for the eponymous brandy.
  • C. Ballantine
    Ballantine is the surname of the individual after whom the prestigious Stuart Ballantine Medal for scientific and engineering achievement is named.
  • D. Cider & Hennessy
    Cider & Hennessy is a music release by American singer Jordin Sparks, showcasing her blend of R&B and pop influences.
  • E. Krug
    Krug is the traditional Cossack communal assembly that served as their highest decision-making and self-governing body.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1aaf6d48190af4f9106965589b0 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89443a4819091dafc560b45cc26 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f93d5b208190835093f453fd33ab completed March 11, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_69b1f9ea9b908190a86e2b79a89e0283 completed March 11, 2026, 11:25 p.m.
Created at: March 8, 2026, 3:03 p.m.