Triple
T17375070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alströmer |
E422414
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Jonas Alströmer |
—
|
NE NERFINISHED |
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: Jonas Alströmer | Statement: [Alströmer, notableMember, Jonas Alströmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonas Alströmer Context triple: [Alströmer, notableMember, Jonas Alströmer]
-
A.
Jonas Alströmer
chosen
Jonas Alströmer was an 18th-century Swedish industrialist and agricultural reformer who played a key role in modernizing Sweden’s economy and scientific institutions.
-
B.
Fredrik Ljungdahl
Fredrik Ljungdahl is a video game designer known for his work on the first-person shooter Wolfenstein II: The New Colossus.
-
C.
Jakob Jerlström
Jakob Jerlström is a Swedish songwriter and producer known for co-writing international pop hits, including Hailee Steinfeld’s “Most Girls.”
-
D.
Stefan Jonsson
Stefan Jonsson is a Swedish literary scholar, critic, and professor known for his work on modernism, postcolonial theory, and cultural analysis.
-
E.
Pontus Edgren
Pontus Edgren is a Swedish television and film producer known for his executive production work on comedy series such as "The Comedians."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6c864481908507290282cc6d25 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:44 a.m.