Triple
T20069369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Question Time |
E499692
|
entity |
| Predicate | laterPresentedBy |
P83
|
FINISHED |
| Object | Fiona Bruce |
—
|
NE NERFINISHED |
How this triple was built (2 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: Fiona Bruce | Statement: [Question Time, laterPresentedBy, Fiona Bruce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiona Bruce Context triple: [Question Time, laterPresentedBy, Fiona Bruce]
-
A.
Fiona Bruce
chosen
Fiona Bruce is a British television journalist and newsreader best known as a prominent BBC presenter on programmes including Question Time and Antiques Roadshow.
-
B.
Fiona Graham
Fiona Graham is a Scottish mountaineer and hillwalker after whom the "Graham" classification of Scottish hills between 2,000 and 2,500 feet is named.
-
C.
Fiona Powrie
Fiona Powrie is a British immunologist renowned for her pioneering research on the immune regulation of intestinal inflammation and the role of regulatory T cells in gut homeostasis.
-
D.
Fiona Lewis
Fiona Lewis is a British actress and writer best known for her roles in 1970s horror and thriller films.
-
E.
Fiona Hall
Fiona Hall is a prominent Australian contemporary artist renowned for her intricate sculptures, installations, and mixed-media works that explore themes of ecology, politics, and global consumerism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664365ad0819089103b00d1cf8c9f |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:39 p.m.