Triple
T12144298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Dietz |
E289275
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dietz |
E397038
|
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: Dietz | Statement: [Howard Dietz, familyName, Dietz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dietz Context triple: [Howard Dietz, familyName, Dietz]
-
A.
Dietz
chosen
Dietz is a historic town in the German state of Hesse that once served as the political center of the County of Nassau-Dietz.
-
B.
Dietrichson
Dietrichson is a Norwegian surname most notably associated with Oluf Christian Dietrichson, an officer and polar explorer who took part in Fridtjof Nansen’s Greenland expedition.
-
C.
Dietzen
Dietzen is a surname most notably associated with American actor Brian Dietzen, known for his role as Jimmy Palmer on the television series "NCIS."
-
D.
Dieter
Dieter is a given name of German origin, often used as a diminutive or variant of the name Dietrich.
-
E.
Dunnigan
Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915aacaa08190b31f54e230334406 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69501348190a9ac090c7db37c20 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.