Triple
T15338090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheltenham Gold Cup |
E366719
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
Magners
Magners is a popular Irish cider brand best known for its widely marketed apple cider products.
|
E1151351
|
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: Magners | Statement: [Cheltenham Gold Cup, sponsor, Magners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magners Context triple: [Cheltenham Gold Cup, sponsor, Magners]
-
A.
Irn-Bru
Irn-Bru is a bright orange, carbonated soft drink from Scotland known for its unique, tangy flavor and iconic status in Scottish popular culture.
-
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 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.
-
D.
Carling
Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
-
E.
Mirinda
Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
- 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: Magners Triple: [Cheltenham Gold Cup, sponsor, Magners]
Generated description
Magners is a popular Irish cider brand best known for its widely marketed apple cider products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Magners Target entity description: Magners is a popular Irish cider brand best known for its widely marketed apple cider products.
-
A.
Irn-Bru
Irn-Bru is a bright orange, carbonated soft drink from Scotland known for its unique, tangy flavor and iconic status in Scottish popular culture.
-
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 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.
-
D.
Carling
Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
-
E.
Mirinda
Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e11b22c81908280efe65acd5454 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f2ee9c819080fce24ed13a07c7 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff02a62dcc819087eddd2f0b4c29cb |
completed | May 9, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff036153588190ae46fcde257eb3cb |
completed | May 9, 2026, 9:50 a.m. |
Created at: April 10, 2026, 3:17 a.m.