Triple
T7289757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Positions |
E163960
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
James Jarvis
James Jarvis is a British illustrator and pioneering designer known for his influential vinyl toy characters and work in the art and design world.
|
E653117
|
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: James Jarvis | Statement: [Positions, writer, James Jarvis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Jarvis Context triple: [Positions, writer, James Jarvis]
-
A.
Samuel Jarvis
Samuel Jarvis was a prominent early Canadian figure from Toronto’s Jarvis family, after whom Jarvis Street is named.
-
B.
James Archer
James Archer is the son of British novelist and former politician Jeffrey Archer.
-
C.
Andrew Jenkins
Andrew Jenkins is a British businessman best known for his long-serving leadership role as chairman of Carlisle United Football Club.
-
D.
Gregory Jarvis
Gregory Jarvis was an American engineer and astronaut who served as a payload specialist on the ill-fated Space Shuttle Challenger mission STS-51-L.
-
E.
Miles Fairley
Miles Fairley is a charming but duplicitous children's book author who becomes a romantic interest of the protagonist in the classic film "The Ghost and Mrs. Muir."
- 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: James Jarvis Triple: [Positions, writer, James Jarvis]
Generated description
James Jarvis is a British illustrator and pioneering designer known for his influential vinyl toy characters and work in the art and design world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Jarvis Target entity description: James Jarvis is a British illustrator and pioneering designer known for his influential vinyl toy characters and work in the art and design world.
-
A.
Samuel Jarvis
Samuel Jarvis was a prominent early Canadian figure from Toronto’s Jarvis family, after whom Jarvis Street is named.
-
B.
James Archer
James Archer is the son of British novelist and former politician Jeffrey Archer.
-
C.
Andrew Jenkins
Andrew Jenkins is a British businessman best known for his long-serving leadership role as chairman of Carlisle United Football Club.
-
D.
Gregory Jarvis
Gregory Jarvis was an American engineer and astronaut who served as a payload specialist on the ill-fated Space Shuttle Challenger mission STS-51-L.
-
E.
Miles Fairley
Miles Fairley is a charming but duplicitous children's book author who becomes a romantic interest of the protagonist in the classic film "The Ghost and Mrs. Muir."
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6d4e308190af6b8c237988d7d8 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db4a31608190ba465e22e7a81782 |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7dbf65fb08190ae8a9c4e57d42e97 |
completed | March 28, 2026, 1:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dc6af4b08190be165856d216f2ae |
completed | March 28, 2026, 1:49 p.m. |
Created at: March 27, 2026, 3 p.m.