Triple
T8658243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erik Bäckström |
E205476
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bäckström |
E35824
|
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: Bäckström | Statement: [Erik Bäckström, familyName, Bäckström]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bäckström Context triple: [Erik Bäckström, familyName, Bäckström]
-
A.
Bäckström
chosen
Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
-
B.
Wikström
Wikström is the Swedish family name of Maud Adams, the actress best known for her roles in James Bond films.
-
C.
Bergström
Bergström is a common Swedish surname borne by numerous notable figures in fields such as science, sports, and the arts.
-
D.
Söderblom
Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
-
E.
Danielsson
Danielsson is a Swedish surname commonly borne by individuals of Scandinavian origin.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc486d576081908ad28749c7971432 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef373a22c8190931b4107c68e7017 |
completed | April 2, 2026, 10:53 p.m. |
Created at: March 30, 2026, 6:30 p.m.