Triple
T12843071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky Bet Championship |
E307101
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
Sky Bet
Sky Bet is a UK-based online sports betting and gaming company best known for its prominent sponsorship of English football competitions.
|
E307101
|
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: Sky Bet | Statement: [Sky Bet Championship, sponsor, Sky Bet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky Bet Context triple: [Sky Bet Championship, sponsor, Sky Bet]
-
A.
William Hill
William Hill was a 19th-century British architect known for designing prominent civic buildings, including notable town halls in England.
-
B.
Sky Bet Championship
Sky Bet Championship is the current sponsored title of England's second-tier professional football league, officially known as the EFL Championship.
-
C.
Bet365
Bet365 is a major British online gambling company best known for its sports betting platform and global sponsorships in horse racing and football.
-
D.
Betfred
Betfred is a major UK-based bookmaker and online gambling company known for its extensive sports betting and gaming operations.
-
E.
Betfair
Betfair is a major online gambling company and betting exchange based in the United Kingdom.
- 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: Sky Bet Triple: [Sky Bet Championship, sponsor, Sky Bet]
Generated description
Sky Bet is a UK-based online sports betting and gaming company best known for its prominent sponsorship of English football competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sky Bet Target entity description: Sky Bet is a UK-based online sports betting and gaming company best known for its prominent sponsorship of English football competitions.
-
A.
William Hill
William Hill was a 19th-century British architect known for designing prominent civic buildings, including notable town halls in England.
-
B.
Sky Bet Championship
chosen
Sky Bet Championship is the current sponsored title of England's second-tier professional football league, officially known as the EFL Championship.
-
C.
Bet365
Bet365 is a major British online gambling company best known for its sports betting platform and global sponsorships in horse racing and football.
-
D.
Betfred
Betfred is a major UK-based bookmaker and online gambling company known for its extensive sports betting and gaming operations.
-
E.
Betfair
Betfair is a major online gambling company and betting exchange based in the United Kingdom.
- F. None of above.
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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff3a7208190b93f6292ed5efc07 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b9dc1e48190993430956e0fcfdc |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69ca6358c8190bb076249864f81a8 |
completed | May 3, 2026, 12:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dc8b86c81908557fa8538e942de |
completed | May 3, 2026, 12:58 a.m. |
Created at: April 9, 2026, 5:35 p.m.