Triple
T9500152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars Jansson |
E229114
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jansson |
E203483
|
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: Jansson | Statement: [Lars Jansson, familyName, Jansson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jansson Context triple: [Lars Jansson, familyName, Jansson]
-
A.
Jansson
chosen
Jansson is a Finnish surname most famously borne by Tove Jansson, the creator of the Moomin series.
-
B.
Jonsson
Jonsson is the namesake of the Jonsson-Rowland Science Center, likely a significant benefactor or figure associated with the institution that houses it.
-
C.
Hansson
Hansson is a common Swedish surname borne by numerous notable figures in politics, sports, and the arts.
-
D.
Siv Jansson
Siv Jansson is a literary scholar and translator known for her work on 19th-century English literature, particularly editions and studies of authors like Charles Dickens.
-
E.
Göran
Göran is a Swedish masculine given name, commonly used in Sweden and borne by various notable figures.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983c308c8190bde6858ac1ca8ea5 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d412a008190adc82e1e3d56d107 |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:56 p.m.