Triple
T17665627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claus Felix von Amsberg |
E440372
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Claus |
E396023
|
NE FINISHED |
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: Claus | Statement: [Claus Felix von Amsberg, givenName, Claus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claus Context triple: [Claus Felix von Amsberg, givenName, Claus]
-
A.
Claus
chosen
Claus was the German-born Prince Consort of Queen Beatrix of the Netherlands, known formally as Prince Claus of the Netherlands.
-
B.
Fred Claus
Fred Claus is a 2007 Christmas comedy film in which Vince Vaughn plays Santa Claus’s resentful older brother who must help save Christmas.
-
C.
Claus-Casimir
Claus-Casimir is a Dutch prince of the House of Orange-Nassau, known as one of the younger members of the Dutch royal family.
-
D.
Fanny Claus
Fanny Claus was a 19th-century French woman known primarily as a close friend and frequent model of painter Édouard Manet, notably appearing in his work "The Balcony."
-
E.
Klaus
Klaus is a masculine given name of German origin commonly used in German-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea8accc8190beea0900b0614020 |
completed | April 19, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02165e842c8190bb28bd8a4b1438ad |
completed | May 11, 2026, 5:48 p.m. |
Created at: April 10, 2026, 9:56 a.m.