Triple
T11261391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Stradner |
E266568
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Stradner |
E613144
|
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: Stradner | Statement: [Rose Stradner, familyName, Stradner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stradner Context triple: [Rose Stradner, familyName, Stradner]
-
A.
Stradner
chosen
Stradner is a surname most notably associated with Austrian-American actress Rosa Stradner.
-
B.
Straubel
Straubel is a surname most prominently associated with JB Straubel, the co-founder and former Chief Technology Officer of Tesla, Inc.
-
C.
Steffenberg
Steffenberg is a small municipality in the Marburg-Biedenkopf district of Hesse, Germany, known for its rural character and scenic surroundings.
-
D.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
E.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94c066c8190be1e032eb328e5fe |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccba233481909f00ebe2237c4f0c |
completed | April 19, 2026, 12:38 p.m. |
Created at: April 8, 2026, 9:31 p.m.