Triple
T5933736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pernod Ricard |
E131995
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Ricard SA
Ricard SA is a French pastis and spirits producer that became the foundation of the global wine and spirits group Pernod Ricard.
|
E555245
|
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: Ricard SA | Statement: [Pernod Ricard, foundedBy, Ricard SA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ricard SA Context triple: [Pernod Ricard, foundedBy, Ricard SA]
-
A.
Gaviota S.A.
Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
-
B.
Vinci SA
Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
-
C.
Orange S.A.
Orange S.A. is a major French multinational telecommunications corporation providing mobile, internet, and other digital services across Europe, Africa, and the Middle East.
-
D.
Corpac S.A.
Corpac S.A. is a Peruvian state-owned company responsible for managing and operating airports and air navigation services in Peru.
-
E.
Omega SA
Omega SA is a Swiss luxury watchmaker renowned for its precision timepieces, Olympic timekeeping, and association with high-profile athletes and events.
- 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: Ricard SA Triple: [Pernod Ricard, foundedBy, Ricard SA]
Generated description
Ricard SA is a French pastis and spirits producer that became the foundation of the global wine and spirits group Pernod Ricard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ricard SA Target entity description: Ricard SA is a French pastis and spirits producer that became the foundation of the global wine and spirits group Pernod Ricard.
-
A.
Gaviota S.A.
Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
-
B.
Vinci SA
Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
-
C.
Orange S.A.
Orange S.A. is a major French multinational telecommunications corporation providing mobile, internet, and other digital services across Europe, Africa, and the Middle East.
-
D.
Corpac S.A.
Corpac S.A. is a Peruvian state-owned company responsible for managing and operating airports and air navigation services in Peru.
-
E.
Omega SA
Omega SA is a Swiss luxury watchmaker renowned for its precision timepieces, Olympic timekeeping, and association with high-profile athletes and events.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389f6fc881909527b928838ffcdd |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c064d2a4819096085668182cfde1 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c109b3288190928dc4539a2872c2 |
completed | March 23, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c1f6fe60819080a00976740b6a9c |
completed | March 23, 2026, 4:30 a.m. |
Created at: March 22, 2026, 4 p.m.