Triple
T18779305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard I, Duke of Normandy |
E459213
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Gunnor |
—
|
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: Gunnor | Statement: [Richard I, Duke of Normandy, spouse, Gunnor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunnor Context triple: [Richard I, Duke of Normandy, spouse, Gunnor]
-
A.
Gunnor
chosen
Gunnor was a powerful Norman noblewoman and duchess, influential in the politics of Normandy as the wife of Duke Richard I and ancestress of the ducal and English royal lines.
-
B.
Golden Hinde
Golden Hinde is a prominent mountain peak on Vancouver Island, British Columbia, known as the island’s highest summit and a challenging objective for experienced hikers and climbers.
-
C.
Lochnagar
Lochnagar is a prominent mountain in the Cairngorms of Scotland, famed for its dramatic north-facing corrie and connections to royal Deeside.
-
D.
Glouster
Glouster is a small village located in Athens County in southeastern Ohio, known historically for its coal mining roots.
-
E.
Christian Ferry
Christian Ferry is a film producer best known for his work on the World War I aviation drama "The Blue Max."
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933d2d048190a42480edc70bf086 |
completed | April 20, 2026, 2:45 a.m. |
Created at: April 10, 2026, 11:52 a.m.