Triple
T1355590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas |
E28979
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Claus |
E68753
|
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: [Nicholas, hasVariantForm, Claus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claus Context triple: [Nicholas, hasVariantForm, Claus]
-
A.
Bruno
Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
-
B.
Nils
chosen
Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
-
C.
Claes
Claes is a given name of Dutch origin, historically borne by early settlers such as Claes Maartenszen van Rosenvelt, an ancestor of the American Roosevelt family.
-
D.
Oskar
Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
-
E.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c28c8dd0819082f94c9e7c837c5f |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd47b63c081908a859a88ad5564b8 |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:56 p.m.