Triple
T19153333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro12 |
E468861
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Guinness |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Pro12, sponsor, Guinness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guinness Context triple: [Pro12, sponsor, Guinness]
-
A.
Guinness
chosen
Guinness is a world-famous Irish dry stout brand originating from Dublin and known for its dark color, creamy head, and long brewing heritage.
-
B.
Kilkenny beer
Kilkenny beer is an Irish cream ale known for its smooth, creamy head and rich, malty flavor, originating from the historic Smithwick's brewery in Kilkenny, Ireland.
-
C.
Carling
Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
-
D.
Carling
Carling is a commune in northeastern France, known historically for its coal mining and industrial activity in the Moselle department.
-
E.
Bulmer
Bulmer is a small village and civil parish in North Yorkshire, England, known for its rural character and historic setting within the Ryedale district.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb7575c8190b52a9d2bde5ac288 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.