Triple
T23324354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steffens |
E591246
|
entity |
| Predicate | derivedFromGivenName |
P17
|
FINISHED |
| Object | Steffen |
—
|
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: Steffen | Statement: [Steffens, derivedFromGivenName, Steffen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steffen Context triple: [Steffens, derivedFromGivenName, Steffen]
-
A.
Steffen
chosen
Steffen is a surname most notably associated with Will Steffen, an influential climate scientist and researcher on Earth system dynamics and global environmental change.
-
B.
Jörg
Jörg is a masculine given name of German origin, commonly used in German-speaking countries.
-
C.
Stefan Sanderling
Stefan Sanderling is a German conductor known for his leadership of several major orchestras in Europe and the United States.
-
D.
Sebastian Steinberg
Sebastian Steinberg is an American bassist and producer best known for his work with the band Soul Coughing and his extensive collaborations with artists such as Fiona Apple.
-
E.
Hannes
Hannes is a masculine given name commonly used in German-speaking countries, often as a short form of Johannes.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19787ee90819083416193efaab20f |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:08 p.m.