Triple
T22266121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distillers Company Limited |
E550354
|
entity |
| Predicate | ownedBrand |
P1500
|
FINISHED |
| Object |
Bell's
Bell's is a popular blended Scotch whisky brand known for its smooth, approachable character and wide availability in the UK and beyond.
|
E1528572
|
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: Bell's | Statement: [Distillers Company Limited, ownedBrand, Bell's]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bell's Context triple: [Distillers Company Limited, ownedBrand, Bell's]
-
A.
Mott's
Mott's is a well-known American brand best recognized for its apple-based juices and sauces.
-
B.
Kelly's Diner
Kelly's Diner is a longtime, family-run restaurant and social hub in the fictional town of Port Charles on the soap opera "General Hospital."
-
C.
Gerald’s
Gerald’s is a settlement located in the Northern District of Montserrat in the Caribbean.
-
D.
Williamsburg Diner
Williamsburg Diner is a fictional Brooklyn eatery featured in the TV sitcom "2 Broke Girls," where several main characters work and interact.
-
E.
Hecht's
Hecht's was a regional department store chain in the Mid-Atlantic United States, later absorbed into Macy's.
- 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: Bell's Triple: [Distillers Company Limited, ownedBrand, Bell's]
Generated description
Bell's is a popular blended Scotch whisky brand known for its smooth, approachable character and wide availability in the UK and beyond.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bell's Target entity description: Bell's is a popular blended Scotch whisky brand known for its smooth, approachable character and wide availability in the UK and beyond.
-
A.
Mott's
Mott's is a well-known American brand best recognized for its apple-based juices and sauces.
-
B.
Kelly's Diner
Kelly's Diner is a longtime, family-run restaurant and social hub in the fictional town of Port Charles on the soap opera "General Hospital."
-
C.
Gerald’s
Gerald’s is a settlement located in the Northern District of Montserrat in the Caribbean.
-
D.
Williamsburg Diner
Williamsburg Diner is a fictional Brooklyn eatery featured in the TV sitcom "2 Broke Girls," where several main characters work and interact.
-
E.
Hecht's
Hecht's was a regional department store chain in the Mid-Atlantic United States, later absorbed into Macy's.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bc458c81909837373d749b915d |
completed | April 28, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abc9c3a0481909ea2f553501b5f90 |
completed | May 18, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_6a0abdba268881908b936c0abf539a39 |
completed | May 18, 2026, 7:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abf213878819085413d22a824fe58 |
completed | May 18, 2026, 7:26 a.m. |
Created at: April 16, 2026, 8:39 p.m.