Triple
T2280033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guinness Storehouse |
E51259
|
entity |
| Predicate | associatedWithBrand |
P2830
|
FINISHED |
| Object |
Guinness
Guinness is a world-famous Irish dry stout brand originating from Dublin and known for its dark color, creamy head, and long brewing heritage.
|
E250800
|
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: Guinness | Statement: [Guinness Storehouse, associatedWithBrand, Guinness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guinness Context triple: [Guinness Storehouse, associatedWithBrand, Guinness]
-
A.
Carling
Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
-
B.
Hugo Guinness
Hugo Guinness is a British artist, illustrator, and writer known for his linocut prints and collaborations with filmmaker Wes Anderson.
-
C.
Grolsch
Grolsch is a Dutch brewery best known for its distinctive swing-top bottled beers and long-standing presence in the international beer market.
-
D.
Birra Moretti
Birra Moretti is a traditional Italian beer brand known for its classic lager and iconic mustachioed man logo, now distributed internationally.
-
E.
Carlby
Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
- 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: Guinness Triple: [Guinness Storehouse, associatedWithBrand, Guinness]
Generated description
Guinness is a world-famous Irish dry stout brand originating from Dublin and known for its dark color, creamy head, and long brewing heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guinness Target entity description: Guinness is a world-famous Irish dry stout brand originating from Dublin and known for its dark color, creamy head, and long brewing heritage.
-
A.
Carling
Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
-
B.
Hugo Guinness
Hugo Guinness is a British artist, illustrator, and writer known for his linocut prints and collaborations with filmmaker Wes Anderson.
-
C.
Grolsch
Grolsch is a Dutch brewery best known for its distinctive swing-top bottled beers and long-standing presence in the international beer market.
-
D.
Birra Moretti
Birra Moretti is a traditional Italian beer brand known for its classic lager and iconic mustachioed man logo, now distributed internationally.
-
E.
Carlby
Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2194150819083156e4dcd45a423 |
completed | March 7, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71e48fb081908498f826167020a2 |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae72bdc5dc81908f475353999161e4 |
completed | March 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76720e3c8190aeb82dd8779ff715 |
completed | March 9, 2026, 7:27 a.m. |
Created at: March 4, 2026, 7:48 p.m.