Triple
T18524523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Aage of Denmark |
E452679
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aage |
—
|
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: Aage | Statement: [Prince Aage of Denmark, givenName, Aage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aage Context triple: [Prince Aage of Denmark, givenName, Aage]
-
A.
Aage
chosen
Aage is a masculine given name of Scandinavian origin, commonly used in Denmark and Norway.
-
B.
Mogens
Mogens is a Danish masculine given name commonly used in Denmark and other Scandinavian countries.
-
C.
Jørgen
Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
-
D.
Bertil
Bertil is a Scandinavian male given name, historically borne by nobility such as the Duke of Halland.
-
E.
Helge
Helge is a given name, used in various European countries, that is closely related to the name Helga.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533908b0c81908725baf828aa46ff |
completed | April 19, 2026, 7:57 p.m. |
Created at: April 10, 2026, 11:37 a.m.