Triple
T12451761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UL |
E297548
|
entity |
| Predicate | underlyingCompanyOwnsBrand |
P6745
|
FINISHED |
| Object | Ben & Jerry's |
E297559
|
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: Ben & Jerry's | Statement: [UL, underlyingCompanyOwnsBrand, Ben & Jerry's]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben & Jerry's Context triple: [UL, underlyingCompanyOwnsBrand, Ben & Jerry's]
-
A.
Ben & Jerry's
chosen
Ben & Jerry's is a popular American ice cream company known for its rich, creatively named flavors and socially conscious business practices.
-
B.
Jeni’s Splendid Ice Creams
Jeni’s Splendid Ice Creams is an American artisanal ice cream company known for its creative, chef-driven flavors and high-quality ingredients.
-
C.
Salt & Straw
Salt & Straw is a popular artisanal ice cream company known for its inventive, small-batch flavors and scoop shops across the western United States.
-
D.
Baskin-Robbins
Baskin-Robbins is a global ice cream and frozen dessert chain famous for its “31 flavors” concept and wide variety of creative ice cream offerings.
-
E.
Carvel
Carvel is a fictional small American town that serves as the primary setting for the Andy Hardy film series.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541ace208190a5149b6f18fa196d |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b9f4dd08190b1d62b03d68cc8a6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.