Triple
T4103713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorpe |
E88398
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kay Thorpe
Kay Thorpe is a British romance novelist known for her prolific output of contemporary love stories, many published by Mills & Boon/Harlequin.
|
E417996
|
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: Kay Thorpe | Statement: [Thorpe, hasNotableBearer, Kay Thorpe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay Thorpe Context triple: [Thorpe, hasNotableBearer, Kay Thorpe]
-
A.
Nick Thorpe
Nick Thorpe is a British journalist and author best known as a long-serving Central Europe correspondent for the BBC.
-
B.
Jake Humphrey
Jake Humphrey is a British television presenter best known for his work on sports broadcasting, including football and Formula 1 coverage.
-
C.
Jeremy Theobald
Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
-
D.
Ben Smithard
Ben Smithard is a British cinematographer known for his work on feature films and television dramas, including the biographical film "My Week with Marilyn."
-
E.
Gavin Thorpe
Gavin Thorpe is a British author and game designer best known for his novels and work on the Warhammer and Warhammer 40,000 universes for Games Workshop and Black Library.
- 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: Kay Thorpe Triple: [Thorpe, hasNotableBearer, Kay Thorpe]
Generated description
Kay Thorpe is a British romance novelist known for her prolific output of contemporary love stories, many published by Mills & Boon/Harlequin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kay Thorpe Target entity description: Kay Thorpe is a British romance novelist known for her prolific output of contemporary love stories, many published by Mills & Boon/Harlequin.
-
A.
Nick Thorpe
Nick Thorpe is a British journalist and author best known as a long-serving Central Europe correspondent for the BBC.
-
B.
Jake Humphrey
Jake Humphrey is a British television presenter best known for his work on sports broadcasting, including football and Formula 1 coverage.
-
C.
Jeremy Theobald
Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
-
D.
Ben Smithard
Ben Smithard is a British cinematographer known for his work on feature films and television dramas, including the biographical film "My Week with Marilyn."
-
E.
Gavin Thorpe
Gavin Thorpe is a British author and game designer best known for his novels and work on the Warhammer and Warhammer 40,000 universes for Games Workshop and Black Library.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd116dac8190952cb2ddf63216ec |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f1f8ca0819090fb2acb3fe03d14 |
completed | March 14, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_69b582f9c858819094de05e240c98594 |
completed | March 14, 2026, 3:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5836543848190abbf31c04804358d |
completed | March 14, 2026, 3:48 p.m. |
Created at: March 9, 2026, 3:40 p.m.