Triple
T18123828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosen |
E433816
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Rosenberg |
—
|
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: Rosenberg | Statement: [Rosen, hasVariant, Rosenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosenberg Context triple: [Rosen, hasVariant, Rosenberg]
-
A.
Rosenstein
Rosenstein is a surname most notably associated with Justin Rosenstein, the American software programmer and co-founder of Asana.
-
B.
Rosenhorn
Rosenhorn is a notable subsidiary peak in the Bernese Alps of Switzerland, forming part of the Wetterhorn massif.
-
C.
Rosenblum
Rosenblum is a Jewish surname borne by various notable individuals, including Israeli journalist and politician Herzl Rosenblum.
-
D.
Rosenbad
Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
-
E.
Rosen
chosen
Rosen is a common Ashkenazi Jewish surname borne by numerous notable figures in politics, arts, science, and business.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddebeae88190ae50e9a258b34dbe |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.