Triple
T12452272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben & Jerry's |
E297559
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Jerry Greenfield
Jerry Greenfield is an American businessman and philanthropist best known as the co-founder of the ice cream company Ben & Jerry's.
|
E985222
|
NE FINISHED |
How this triple was built (4 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: Jerry Greenfield | Statement: [Ben & Jerry's, foundedBy, Jerry Greenfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Greenfield Context triple: [Ben & Jerry's, foundedBy, Jerry Greenfield]
-
A.
John Greenfield
John Greenfield was an individual significant enough in local or regional history that the city of Greenfield, California, was named in his honor.
-
B.
Sam Greenfield
Sam Greenfield is the perpetually unlucky young woman who becomes the central heroine of the animated fantasy film "Luck," navigating a secret world of good and bad fortune.
-
C.
Daniel Green
Daniel Green is a music producer known for his work on the track "Paradise."
-
D.
Martin Green
Martin Green is a renowned Australian engineer and solar energy researcher recognized as a leading pioneer in photovoltaic technology.
-
E.
Christopher Greenup
Christopher Greenup was an early American politician who served as the third governor of Kentucky in the early 19th century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jerry Greenfield Triple: [Ben & Jerry's, foundedBy, Jerry Greenfield]
Generated description
Jerry Greenfield is an American businessman and philanthropist best known as the co-founder of the ice cream company Ben & Jerry's.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jerry Greenfield Target entity description: Jerry Greenfield is an American businessman and philanthropist best known as the co-founder of the ice cream company Ben & Jerry's.
-
A.
John Greenfield
John Greenfield was an individual significant enough in local or regional history that the city of Greenfield, California, was named in his honor.
-
B.
Sam Greenfield
Sam Greenfield is the perpetually unlucky young woman who becomes the central heroine of the animated fantasy film "Luck," navigating a secret world of good and bad fortune.
-
C.
Daniel Green
Daniel Green is a music producer known for his work on the track "Paradise."
-
D.
Martin Green
Martin Green is a renowned Australian engineer and solar energy researcher recognized as a leading pioneer in photovoltaic technology.
-
E.
Christopher Greenup
Christopher Greenup was an early American politician who served as the third governor of Kentucky in the early 19th century.
- F. None of above. chosen
Provenance (5 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_69d94d9fa5f0819080ca9f6efa212c59 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f16e87c8190b7e9f61561ae865a |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6412345ac8190826f4fecb8055fb5 |
completed | May 2, 2026, 6:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64231606481909b8dd9d878670a6c |
completed | May 2, 2026, 6:28 p.m. |
Created at: April 8, 2026, 9:56 p.m.