Triple
T3579055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capture of Nuremberg |
E75756
|
entity |
| Predicate | commandedBy |
P1407
|
FINISHED |
| Object | Alexander Patch |
E33070
|
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: Alexander Patch | Statement: [Capture of Nuremberg, commandedBy, Alexander Patch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Patch Context triple: [Capture of Nuremberg, commandedBy, Alexander Patch]
-
A.
Alexander Patch
chosen
Alexander Patch was a senior U.S. Army general in World War II who led American forces in major European campaigns, including the invasion of southern France.
-
B.
Fadden
Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
-
C.
Rennahan
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
-
D.
Bayard
Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
-
E.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0defe14819095a337a840e33300 |
completed | March 8, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbc6bc948190a517639f5d79c0a3 |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:21 p.m.