Triple
T8469880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Joachim |
E200253
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Joachim |
E69939
|
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: Joachim | Statement: [Joseph Joachim, familyName, Joachim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joachim Context triple: [Joseph Joachim, familyName, Joachim]
-
A.
Joachim
chosen
Joachim is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
-
B.
Johann
Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
-
C.
Joachim von Kortzfleisch
Joachim von Kortzfleisch was a German Wehrmacht general during World War II, known for his role in the suppression of the 20 July 1944 plot against Adolf Hitler.
-
D.
Johan
Johan is the given first name of the Swedish playwright and novelist August Strindberg.
-
E.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d5dd088190a79050417f527f14 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4dda5230819087ab2509eb958fc2 |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:11 p.m.