Triple
T2556604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niklas Zennström |
E56742
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Niklas |
E187829
|
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 Zennström, givenName, Niklas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niklas Context triple: [Niklas Zennström, givenName, Niklas]
-
A.
Nicklas
chosen
Nicklas is a masculine given name of Scandinavian origin, commonly used in Sweden and other Nordic countries.
-
B.
Niklas Frank
Niklas Frank is a German journalist and author known for his critical writings about his father, Nazi governor-general Hans Frank, and the legacy of the Third Reich.
-
C.
Niels
Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
-
D.
Niklas Bäckström
Niklas Bäckström is a retired Finnish professional ice hockey goaltender best known for his long NHL career with the Minnesota Wild.
-
E.
Christoffer Reedtz
Christoffer Reedtz is a Danish businessman and football data analyst best known as the owner of English football club Notts County.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd310b3a48190b275be13eb050e57 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d1d937c8190ac6b7bb405a49c3c |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:48 p.m.