Triple
T17375078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alströmer |
E422414
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Clas 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: Clas Alströmer | Statement: [Alströmer, notableMember, Clas Alströmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clas Alströmer Context triple: [Alströmer, notableMember, Clas Alströmer]
-
A.
Alströmer
chosen
Alströmer is a Swedish noble family name most notably associated with Jonas Alströmer, an 18th-century pioneer of Swedish agriculture and industry.
-
B.
Näckrosen
Näckrosen is a Stockholm metro station on the blue line located between Solna and Sundbyberg in the Stockholm metropolitan area.
-
C.
Rosa Gryphus
Rosa Gryphus is a central character in Alexandre Dumas' novel "The Black Tulip," known for her devotion, courage, and pivotal role in aiding the protagonist amid political intrigue.
-
D.
Holmlia
Holmlia is a residential neighborhood in Oslo, Norway, known for its diverse population and location in the city's southeastern suburbs.
-
E.
Aloysia Weber
Aloysia Weber was an 18th-century German soprano singer best known for her association with Wolfgang Amadeus Mozart, who wrote several roles for her.
- 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.