Triple
T5933757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pernod Ricard |
E131995
|
entity |
| Predicate | brandPortfolioIncludes |
P18121
|
FINISHED |
| Object |
Ricard
Ricard is a popular French pastis brand of anise-flavored apéritif, widely associated with Mediterranean drinking culture.
|
E555255
|
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 | Statement: [Pernod Ricard, brandPortfolioIncludes, Ricard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ricard Context triple: [Pernod Ricard, brandPortfolioIncludes, Ricard]
-
A.
Renaico
Renaico is a small town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and location near the Vergara River.
-
B.
Ricardo
Ricardo is a surname most famously associated with David Ricardo, the influential 19th-century British political economist known for his work on comparative advantage and classical economics.
-
C.
Ricardo
Ricardo is a masculine given name of Spanish and Portuguese origin, equivalent to Richard in English.
-
D.
Baltasar
Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
-
E.
Richel
Richel is a small, uninhabited sandbar island in the Wadden Sea off the Dutch coast, known as part of the West Frisian Islands archipelago.
- 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 Triple: [Pernod Ricard, brandPortfolioIncludes, Ricard]
Generated description
Ricard is a popular French pastis brand of anise-flavored apéritif, widely associated with Mediterranean drinking culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ricard Target entity description: Ricard is a popular French pastis brand of anise-flavored apéritif, widely associated with Mediterranean drinking culture.
-
A.
Renaico
Renaico is a small town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and location near the Vergara River.
-
B.
Ricardo
Ricardo is a surname most famously associated with David Ricardo, the influential 19th-century British political economist known for his work on comparative advantage and classical economics.
-
C.
Ricardo
Ricardo is a masculine given name of Spanish and Portuguese origin, equivalent to Richard in English.
-
D.
Baltasar
Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
-
E.
Richel
Richel is a small, uninhabited sandbar island in the Wadden Sea off the Dutch coast, known as part of the West Frisian Islands archipelago.
- 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.