Triple
T3943829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innocent Drinks |
E92096
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Jon Wright
Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
|
E418068
|
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: Jon Wright | Statement: [Innocent Drinks, foundedBy, Jon Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Wright Context triple: [Innocent Drinks, foundedBy, Jon Wright]
-
A.
Andrew Wilson
Andrew Wilson is an American actor and director, and the eldest of the Wilson brothers known for their work in films such as "Bottle Rocket" and "The Royal Tenenbaums."
-
B.
Tom Wright
Tom Wright is a British architect best known for designing Dubai’s iconic sail-shaped Burj Al Arab hotel.
-
C.
Brian Wright
Brian Wright is an NBA executive best known as the general manager responsible for overseeing basketball operations and roster decisions for the San Antonio Spurs.
-
D.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
-
E.
Vincent Eyre
Vincent Eyre was a British Indian Army officer and writer known for his role in the First Anglo-Afghan War and his subsequent memoirs.
- 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: Jon Wright Triple: [Innocent Drinks, foundedBy, Jon Wright]
Generated description
Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jon Wright Target entity description: Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
-
A.
Andrew Wilson
Andrew Wilson is an American actor and director, and the eldest of the Wilson brothers known for their work in films such as "Bottle Rocket" and "The Royal Tenenbaums."
-
B.
Tom Wright
Tom Wright is a British architect best known for designing Dubai’s iconic sail-shaped Burj Al Arab hotel.
-
C.
Brian Wright
Brian Wright is an NBA executive best known as the general manager responsible for overseeing basketball operations and roster decisions for the San Antonio Spurs.
-
D.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
-
E.
Vincent Eyre
Vincent Eyre was a British Indian Army officer and writer known for his role in the First Anglo-Afghan War and his subsequent memoirs.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeee00d94881908fcf5ee1e27b1658 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f10d1008190a3bbe93c1215a244 |
completed | March 14, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_69b57fcd3d60819086ab5ad7b69242a2 |
completed | March 14, 2026, 3:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5803ec2088190ac9d4b3d34278e17 |
completed | March 14, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:24 p.m.