Triple
T11069479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labatt Brewing Company |
E261706
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Labatt Dry
Labatt Dry is a Canadian pale lager beer known for its crisp, clean taste and relatively higher alcohol content, produced by Labatt Brewing Company.
|
E911026
|
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: Labatt Dry | Statement: [Labatt Brewing Company, brand, Labatt Dry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labatt Dry Context triple: [Labatt Brewing Company, brand, Labatt Dry]
-
A.
Labatt Crystal
Labatt Crystal is a Canadian pale lager beer known for its light, crisp taste and long-standing presence in Labatt Brewing Company's lineup.
-
B.
Labatt Ice
Labatt Ice is a Canadian ice-brewed lager known for its smooth, slightly stronger taste and wide availability across North America.
-
C.
Labatt Genuine Lager
Labatt Genuine Lager is a Canadian pale lager beer known for its smooth, easy-drinking taste and wide availability across Canada.
-
D.
Labatt 50
Labatt 50 is a classic Canadian ale, long one of the country’s best-selling and most iconic beers.
-
E.
Labatt Blue Light
Labatt Blue Light is a popular Canadian light lager beer known for its crisp, easy-drinking taste and lower calorie content.
- 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: Labatt Dry Triple: [Labatt Brewing Company, brand, Labatt Dry]
Generated description
Labatt Dry is a Canadian pale lager beer known for its crisp, clean taste and relatively higher alcohol content, produced by Labatt Brewing Company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Labatt Dry Target entity description: Labatt Dry is a Canadian pale lager beer known for its crisp, clean taste and relatively higher alcohol content, produced by Labatt Brewing Company.
-
A.
Labatt Crystal
Labatt Crystal is a Canadian pale lager beer known for its light, crisp taste and long-standing presence in Labatt Brewing Company's lineup.
-
B.
Labatt Ice
Labatt Ice is a Canadian ice-brewed lager known for its smooth, slightly stronger taste and wide availability across North America.
-
C.
Labatt Genuine Lager
Labatt Genuine Lager is a Canadian pale lager beer known for its smooth, easy-drinking taste and wide availability across Canada.
-
D.
Labatt 50
Labatt 50 is a classic Canadian ale, long one of the country’s best-selling and most iconic beers.
-
E.
Labatt Blue Light
Labatt Blue Light is a popular Canadian light lager beer known for its crisp, easy-drinking taste and lower calorie content.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799221e848190b0f86ae3eb5e3e02 |
completed | April 9, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4968fc4f8819081532098e5543318 |
completed | April 19, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69e49a97db808190aa22d6a103a13e58 |
completed | April 19, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49d71e81c8190af73931ed30e04be |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 8, 2026, 9:26 p.m.