Triple
T20811086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Frisch |
E512303
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Frisch |
—
|
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: Frisch | Statement: [David Frisch, familyName, Frisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frisch Context triple: [David Frisch, familyName, Frisch]
-
A.
Frisch
chosen
Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
-
B.
Frikat
Frikat is a small town and commune located in Tizi Ouzou Province in northern Algeria, within the Kabylie region.
-
C.
Friesz
Friesz is a surname most notably associated with the French Fauvist painter Othon Friesz.
-
D.
Frieson
Frieson is a surname variant of Friesen, typically associated with families of German or Mennonite heritage.
-
E.
Frisange
Frisange is a small commune and town in southwestern Luxembourg, situated within the country’s historic Minett (Red Rock) region.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d27a4881908b34679385d8b94b |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.