Triple
T4028507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woman's Hour |
E83649
|
entity |
| Predicate | notablePresenter |
P46402
|
FINISHED |
| Object |
Emma Barnett
Emma Barnett is a British journalist and broadcaster best known as a prominent BBC presenter and interviewer.
|
E409426
|
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: Emma Barnett | Statement: [Woman's Hour, notablePresenter, Emma Barnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Barnett Context triple: [Woman's Hour, notablePresenter, Emma Barnett]
-
A.
Florence Balcombe
Florence Balcombe was an Irish socialite best known as the wife of Dracula author Bram Stoker and formerly a romantic interest of Oscar Wilde.
-
B.
Enid Bennett
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
-
C.
Sarah Barnard
Sarah Barnard was the wife of renowned English scientist Michael Faraday, providing personal support throughout his career in 19th-century London.
-
D.
Beatrice Dawson
Beatrice Dawson was a British costume designer known for her work on mid-20th-century films, earning multiple Academy Award nominations for her period and character costumes.
-
E.
Elizabeth Alington
Elizabeth Alington was a British aristocrat and the wife of Conservative politician and former UK Prime Minister Alec Douglas-Home.
- 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: Emma Barnett Triple: [Woman's Hour, notablePresenter, Emma Barnett]
Generated description
Emma Barnett is a British journalist and broadcaster best known as a prominent BBC presenter and interviewer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Barnett Target entity description: Emma Barnett is a British journalist and broadcaster best known as a prominent BBC presenter and interviewer.
-
A.
Florence Balcombe
Florence Balcombe was an Irish socialite best known as the wife of Dracula author Bram Stoker and formerly a romantic interest of Oscar Wilde.
-
B.
Enid Bennett
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
-
C.
Sarah Barnard
Sarah Barnard was the wife of renowned English scientist Michael Faraday, providing personal support throughout his career in 19th-century London.
-
D.
Beatrice Dawson
Beatrice Dawson was a British costume designer known for her work on mid-20th-century films, earning multiple Academy Award nominations for her period and character costumes.
-
E.
Elizabeth Alington
Elizabeth Alington was a British aristocrat and the wife of Conservative politician and former UK Prime Minister Alec Douglas-Home.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaf066b08190afbb4a18ddc8d67e |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556358f148190be7008092d0023af |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b55a5b292481908723530461bad562 |
completed | March 14, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55ae09ac48190a014aaf5b309e029 |
completed | March 14, 2026, 12:56 p.m. |
Created at: March 9, 2026, 3:36 p.m.