Triple
T16419855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Karasek |
E398786
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Karasek |
E398786
|
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: Karasek | Statement: [Franz Karasek, familyName, Karasek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karasek Context triple: [Franz Karasek, familyName, Karasek]
-
A.
Karasek
chosen
Karasek is a surname of Central or Eastern European origin, notably borne by Austrian diplomat and politician Franz Karasek.
-
B.
Sattanen
Sattanen is a small village located within the municipality of Sodankylä in Finnish Lapland.
-
C.
Kasdan
Kasdan is a surname most notably associated with American screenwriter, director, and producer Lawrence Kasdan, known for his work on major films such as "The Empire Strikes Back" and "Raiders of the Lost Ark."
-
D.
Kaskinen
Kaskinen is a small coastal town and municipality in western Finland, known as one of the country’s smallest cities by population.
-
E.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f5c1bc8190a679f35bd6c0bc97 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6e882c81908fae034f1b75b7ee |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.