Triple
T8096089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niklas Bäckström |
E188989
|
entity |
| Predicate | givenName |
P17
|
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: [Niklas Bäckström, givenName, Niklas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niklas Context triple: [Niklas Bäckström, givenName, Niklas]
-
A.
Niklas
chosen
Niklas is a masculine given name commonly used in Germanic and Scandinavian countries, derived from the Greek name Nikolaos.
-
B.
Nicklas
Nicklas is a masculine given name of Scandinavian origin, commonly used in Sweden and other Nordic countries.
-
C.
Rasmus
Rasmus is a masculine given name of Scandinavian origin, commonly used in countries such as Denmark, Norway, and Sweden.
-
D.
Killian Marcus Nielsen
Killian Marcus Nielsen is one of the children of Danish actress and model Brigitte Nielsen.
-
E.
Niklas Sundström
Niklas Sundström is a Swedish former professional ice hockey forward who played in the NHL and represented Sweden internationally, known for his strong two-way play.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4291f1d4819098985ac2b20b6c75 |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9407df3481908353e8468b49e6bc |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:30 p.m.