Triple
T20416798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detection Club |
E500732
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Nicola Upson
Nicola Upson is a British crime novelist best known for her historical mystery series featuring real-life author Josephine Tey as a detective.
|
E1428912
|
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: Nicola Upson | Statement: [Detection Club, hasMember, Nicola Upson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicola Upson Context triple: [Detection Club, hasMember, Nicola Upson]
-
A.
Nicola Harrison
Nicola Harrison is an actress known for her role in the 2017 gothic horror film "Marrowbone."
-
B.
Nicola Reynolds
Nicola Reynolds is a Welsh actress best known for her role in the cult British film "Human Traffic" and for her work in UK television and theatre.
-
C.
Nicola Beauman
Nicola Beauman is a British biographer, literary historian, and founder of the feminist publishing house Persephone Books, known for reviving neglected works by 20th-century women writers.
-
D.
Nicola Duffett
Nicola Duffett is a British actress known for her work in television, film, and theatre, including roles in popular UK dramas and soap operas.
-
E.
Nicola Scott
Nicola Scott is the daughter of English novelist Elizabeth Jane Howard.
- 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: Nicola Upson Triple: [Detection Club, hasMember, Nicola Upson]
Generated description
Nicola Upson is a British crime novelist best known for her historical mystery series featuring real-life author Josephine Tey as a detective.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicola Upson Target entity description: Nicola Upson is a British crime novelist best known for her historical mystery series featuring real-life author Josephine Tey as a detective.
-
A.
Nicola Harrison
Nicola Harrison is an actress known for her role in the 2017 gothic horror film "Marrowbone."
-
B.
Nicola Reynolds
Nicola Reynolds is a Welsh actress best known for her role in the cult British film "Human Traffic" and for her work in UK television and theatre.
-
C.
Nicola Beauman
Nicola Beauman is a British biographer, literary historian, and founder of the feminist publishing house Persephone Books, known for reviving neglected works by 20th-century women writers.
-
D.
Nicola Duffett
Nicola Duffett is a British actress known for her work in television, film, and theatre, including roles in popular UK dramas and soap operas.
-
E.
Nicola Scott
Nicola Scott is the daughter of English novelist Elizabeth Jane Howard.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4437448190b07b6e6e3de5830f |
completed | April 20, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b284bb8819090f76ec27116c619 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088017be588190ab94b8180e44ebf4 |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0880c45e1081908f439ade0c31a47e |
completed | May 16, 2026, 2:35 p.m. |
Created at: April 16, 2026, 11:30 a.m.