Triple
T11028326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BJ's Wholesale Club |
E260689
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Berkley Jensen |
E271663
|
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: Berkley Jensen | Statement: [BJ's Wholesale Club, hasBrand, Berkley Jensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berkley Jensen Context triple: [BJ's Wholesale Club, hasBrand, Berkley Jensen]
-
A.
Berkley Jensen
chosen
Berkley Jensen is a private-label brand offering a wide range of household, grocery, and everyday products sold exclusively at BJ's Wholesale Club.
-
B.
Sage Kotsenburg
Sage Kotsenburg is an American snowboarder best known for winning the first-ever Olympic gold medal in men's slopestyle at the 2014 Winter Olympics in Sochi.
-
C.
Gunner Jensen
Gunner Jensen is a volatile, heavy-weapons specialist and member of the mercenary team in the action film series "The Expendables."
-
D.
Drew Hansen
Drew Hansen is an American lawyer, author, and Democratic politician who has served in the Washington State Legislature.
-
E.
Jordan Kerner
Jordan Kerner is an American film and television producer known for projects such as "Less Than Zero" and the live-action "The Smurfs" films.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d245a0819085135cdee9b256c5 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3753451e08190bc42ab99d01926f9 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 8, 2026, 9:25 p.m.