Triple
T7891794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AB InBev |
E183252
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Beck’s |
E156732
|
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: Beck’s | Statement: [AB InBev, brand, Beck’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beck’s Context triple: [AB InBev, brand, Beck’s]
-
A.
Beck
Beck is an American musician, singer-songwriter, and producer known for his eclectic style that blends rock, folk, hip hop, and electronic music.
-
B.
Beck
Beck is a surname of Germanic origin borne by numerous notable individuals across fields such as music, design, and academia.
-
C.
Becks
chosen
Becks is a popular German beer brand, formally known as Beck's, recognized worldwide for its pilsner-style lager.
-
D.
Rather Be
"Rather Be" is a 2014 hit single by British electronic group Clean Bandit featuring Jess Glynne, known for its blend of classical-inspired strings with dance-pop production.
-
E.
Backbeat
Backbeat is a 1994 biographical drama film about the early days of The Beatles in Hamburg, focusing on the relationship between John Lennon and original bassist Stuart Sutcliffe.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39fef2e48190a6282c217c33c57a |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ba51ee48190b654a931da2c049f |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5 p.m.