Triple
T20231902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baxters |
E495545
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Baxters Vegetarian
Baxters Vegetarian is a sub-brand of Baxters known for its range of meat-free soups and other vegetarian-friendly food products.
|
E1418712
|
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: Baxters Vegetarian | Statement: [Baxters, hasBrand, Baxters Vegetarian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baxters Vegetarian Context triple: [Baxters, hasBrand, Baxters Vegetarian]
-
A.
Skinner’s Greens
Skinner’s Greens was a Loyalist military unit from New Jersey that fought on the British side during the American Revolutionary War.
-
B.
Earfood
Earfood is a critically acclaimed jazz album by trumpeter Roy Hargrove, celebrated for its soulful compositions and modern hard-bop sound.
-
C.
The Vegetarian Butcher
The Vegetarian Butcher is a plant-based meat company known for creating vegetarian and vegan alternatives that closely mimic the taste and texture of traditional meat products.
-
D.
VEGY
VEGY is the ICAO airport code for Gaya Airport, a public airport serving the city of Gaya in the Indian state of Bihar.
-
E.
Vegesack
Vegesack is a district of the German city of Bremen, known historically as a port and shipbuilding center at the confluence of the Weser and Lesum rivers.
- 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: Baxters Vegetarian Triple: [Baxters, hasBrand, Baxters Vegetarian]
Generated description
Baxters Vegetarian is a sub-brand of Baxters known for its range of meat-free soups and other vegetarian-friendly food products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baxters Vegetarian Target entity description: Baxters Vegetarian is a sub-brand of Baxters known for its range of meat-free soups and other vegetarian-friendly food products.
-
A.
Skinner’s Greens
Skinner’s Greens was a Loyalist military unit from New Jersey that fought on the British side during the American Revolutionary War.
-
B.
Earfood
Earfood is a critically acclaimed jazz album by trumpeter Roy Hargrove, celebrated for its soulful compositions and modern hard-bop sound.
-
C.
The Vegetarian Butcher
The Vegetarian Butcher is a plant-based meat company known for creating vegetarian and vegan alternatives that closely mimic the taste and texture of traditional meat products.
-
D.
VEGY
VEGY is the ICAO airport code for Gaya Airport, a public airport serving the city of Gaya in the Indian state of Bihar.
-
E.
Vegesack
Vegesack is a district of the German city of Bremen, known historically as a port and shipbuilding center at the confluence of the Weser and Lesum rivers.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fddafac819089cef4158f5e0ab5 |
completed | April 20, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b8e73908190a0c09697d6dc1c76 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084c041b5c8190881a6d08c4afe42f |
completed | May 16, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084c7dee808190a0883f7f0c7873a9 |
completed | May 16, 2026, 10:52 a.m. |
Created at: April 11, 2026, 11:39 p.m.