Triple
T3643701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricky Bobby |
E77247
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
Perrier
Perrier is a French brand of naturally carbonated mineral water known for its distinctive green bottles and strong sparkling taste.
|
E376704
|
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: Perrier | Statement: [Ricky Bobby, sponsor, Perrier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perrier Context triple: [Ricky Bobby, sponsor, Perrier]
-
A.
Schweppes
Schweppes is a historic beverage brand best known for its carbonated soft drinks and tonic waters, now owned and marketed in many regions by The Coca-Cola Company.
-
B.
Volvic
Volvic is a French town in the Auvergne region best known worldwide for its natural mineral water sourced from volcanic springs.
-
C.
Nestlé Waters
Nestlé Waters is the bottled water division of Nestlé, responsible for producing and marketing a wide portfolio of still and sparkling water brands worldwide.
-
D.
Dasani
Dasani is a bottled water brand owned by The Coca-Cola Company, known for its purified water with added minerals for taste and wide distribution in retail markets.
-
E.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
- 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: Perrier Triple: [Ricky Bobby, sponsor, Perrier]
Generated description
Perrier is a French brand of naturally carbonated mineral water known for its distinctive green bottles and strong sparkling taste.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perrier Target entity description: Perrier is a French brand of naturally carbonated mineral water known for its distinctive green bottles and strong sparkling taste.
-
A.
Schweppes
Schweppes is a historic beverage brand best known for its carbonated soft drinks and tonic waters, now owned and marketed in many regions by The Coca-Cola Company.
-
B.
Volvic
Volvic is a French town in the Auvergne region best known worldwide for its natural mineral water sourced from volcanic springs.
-
C.
Nestlé Waters
Nestlé Waters is the bottled water division of Nestlé, responsible for producing and marketing a wide portfolio of still and sparkling water brands worldwide.
-
D.
Dasani
Dasani is a bottled water brand owned by The Coca-Cola Company, known for its purified water with added minerals for taste and wide distribution in retail markets.
-
E.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35c28908190b253f4835918a2b4 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f3207688190b8d93e2e833b15a0 |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b453cdaae0819099c31056b7830d26 |
completed | March 13, 2026, 6:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b482dfdfc08190a20e58707368b573 |
completed | March 13, 2026, 9:34 p.m. |
Created at: March 8, 2026, 3:24 p.m.