Triple
T10248311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Guinness |
E240275
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Guinness |
E250800
|
NE FINISHED |
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: [Hugo Guinness, familyName, Guinness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guinness Context triple: [Hugo Guinness, familyName, 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.
Carling
Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
-
C.
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.
-
D.
Arthur Guinness & Son
Arthur Guinness & Son was the family-run brewing company behind Guinness stout, one of Ireland’s most famous and globally recognized beer brands.
-
E.
Strongbow Original
Strongbow Original is a flagship dry apple cider known for its crisp, refreshing taste and wide availability in pubs and stores.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7ade8448190830d950b7cee0c34 |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:27 a.m.