Triple
T7651217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bo Sundqvist |
E173254
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sundqvist |
E173254
|
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: Sundqvist | Statement: [Bo Sundqvist, familyName, Sundqvist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sundqvist Context triple: [Bo Sundqvist, familyName, Sundqvist]
-
A.
Almqvist
Almqvist is a Swedish surname most famously borne by the 19th-century writer and romantic poet Carl Jonas Love Almqvist.
-
B.
Bäckström
Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
-
C.
Wikström
Wikström is the Swedish family name of Maud Adams, the actress best known for her roles in James Bond films.
-
D.
Bo Sundqvist
chosen
Bo Sundqvist is a Swedish physicist and academic who served as rector (vice-chancellor) of Uppsala University.
-
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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70175e4b88190bc40c839a42180d4 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89ae293148190a30ef03a4a594fe6 |
completed | March 29, 2026, 3:22 a.m. |
Created at: March 27, 2026, 3:58 p.m.