Triple
T4160844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Frisch |
E91529
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Frisch |
E91529
|
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: Frisch | Statement: [Max Frisch, familyName, Frisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frisch Context triple: [Max Frisch, familyName, Frisch]
-
A.
Frisch
chosen
Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
-
B.
Fiser
Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
-
C.
Fry
Fry is a common English surname borne by various notable figures in fields such as art, literature, and entertainment.
-
D.
Fritzie
Fritzie was the ring nickname of Fritzie Zivic, a rugged and crafty American welterweight boxing champion active in the 1930s and 1940s.
-
E.
Frits
Frits is a Dutch given name most notably borne by Frits Bolkestein, a prominent Dutch politician and former European Commissioner.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a6b5f48190bdabf988d23f6e97 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f42f2cc8190ae10ea12273c930a |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:44 p.m.