Triple
T19510444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Naughtie |
E488137
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | James Naughtie |
—
|
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: James Naughtie | Statement: [James Naughtie, name, James Naughtie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Naughtie Context triple: [James Naughtie, name, James Naughtie]
-
A.
James Naughtie
chosen
James Naughtie is a Scottish broadcaster and journalist best known as a long-serving presenter of BBC Radio 4’s flagship news programme, Today.
-
B.
Norman Macrae
Norman Macrae was a British economist and journalist best known for his long career at The Economist and his influential, often prescient writings on future economic and technological trends.
-
C.
William McInnes
William McInnes is an Australian actor and writer known for his work in film and television, including prominent roles in series such as NCIS: Sydney.
-
D.
James MacInnes
James MacInnes is a screenwriter known for co-writing the historical epic film "Outlaw King."
-
E.
Dugald Semple
Dugald Semple was a Scottish writer and prominent early 20th-century advocate of simple living, vegetarianism, and nature-centered lifestyles.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6351547e481909a875bba40651094 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.