Triple
T1442498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aston Villa |
E31104
|
entity |
| Predicate | primarySponsor |
P1807
|
FINISHED |
| Object |
Betano
Betano is an international online sports betting and gaming brand known for sponsoring major football clubs and sporting events.
|
E165374
|
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: Betano | Statement: [Aston Villa, primarySponsor, Betano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betano Context triple: [Aston Villa, primarySponsor, Betano]
-
A.
Bica
Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
-
B.
Vivanco
Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
-
C.
Canela
Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
-
D.
Sabetzki
Sabetzki is a German surname most notably associated with Günther Sabetzki, a prominent ice hockey executive and former president of the International Ice Hockey Federation.
-
E.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
- 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: Betano Triple: [Aston Villa, primarySponsor, Betano]
Generated description
Betano is an international online sports betting and gaming brand known for sponsoring major football clubs and sporting events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betano Target entity description: Betano is an international online sports betting and gaming brand known for sponsoring major football clubs and sporting events.
-
A.
Bica
Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
-
B.
Vivanco
Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
-
C.
Canela
Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
-
D.
Sabetzki
Sabetzki is a German surname most notably associated with Günther Sabetzki, a prominent ice hockey executive and former president of the International Ice Hockey Federation.
-
E.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5320728819095d9ed2439fa7d31 |
completed | March 1, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08be450c8190bc0b8a69733a0bd4 |
completed | March 8, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69ad09823ce481908b5db3ee9ebd1a88 |
completed | March 8, 2026, 5:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0a8f17888190913c06641a6ac060 |
completed | March 8, 2026, 5:35 a.m. |
Created at: March 1, 2026, 8 p.m.