Triple
T21892053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Delaney |
E540576
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Charles Grant |
—
|
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: Charles Grant | Statement: [Kim Delaney, spouse, Charles Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Grant Context triple: [Kim Delaney, spouse, Charles Grant]
-
A.
Charles Grant
Charles Grant was a prominent British politician and evangelical reformer associated with the Clapham Sect, known for his influential role in the East India Company and support for social and religious reforms.
-
B.
Charles Grant
chosen
Charles Grant is a British football executive best known for serving as chairman of Crewe Alexandra F.C.
-
C.
James Grant
James Grant was a British Army general who played a leading role in several major engagements of the American Revolutionary War.
-
D.
James Grant
James Grant was a prominent American humanitarian and longtime executive director of UNICEF, renowned for his global efforts to improve child health and survival.
-
E.
William Millar
William Millar, better known by his stage name Stephen Boyd, was a Northern Irish-born actor famed for his role as Messala in the 1959 epic film "Ben-Hur."
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc3727c8190b4d5d5a44aa2e55e |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:06 p.m.