Triple
T9922478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicklas |
E187829
|
entity |
| Predicate | variantOf |
P4680
|
FINISHED |
| Object | Niklas |
E345634
|
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: Niklas | Statement: [Nicklas, variantOf, Niklas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niklas Context triple: [Nicklas, variantOf, Niklas]
-
A.
Niklas
chosen
Niklas is a masculine given name commonly used in Germanic and Scandinavian countries, derived from the Greek name Nikolaos.
-
B.
Niklas Thor
Niklas Thor is a Swedish former professional footballer known for his career in the Allsvenskan and for having been married to politician Ebba Busch.
-
C.
Jan Niklas
Jan Niklas is a German actor known for his work in European cinema and television, particularly in historical and dramatic roles.
-
D.
Nicklas
Nicklas is a masculine given name of Scandinavian origin, commonly used in Sweden and other Nordic countries.
-
E.
Rasmus
Rasmus is a masculine given name of Scandinavian origin, commonly used in countries such as Denmark, Norway, and Sweden.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb56c7da88190ac37986a2e766b1e |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e019f788190a0106b60c8a39efa |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:42 p.m.