Triple
T23149426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Herter |
E578280
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Herter |
E833122
|
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: Herter | Statement: [Christian Herter, familyName, Herter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herter Context triple: [Christian Herter, familyName, Herter]
-
A.
Herter
chosen
Herter is a surname of German origin borne by various notable individuals, including American politician and diplomat Christian A. Herter.
-
B.
Hauser
Hauser is a central figure in the science fiction film "Total Recall," known as the enigmatic original identity of protagonist Douglas Quaid and a key player in the story’s conspiracy on Mars.
-
C.
Hauerland
Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
-
D.
Sherwin
Sherwin is a surname most notably associated with Martin J. Sherwin, an American historian known for his work on nuclear history and the life of J. Robert Oppenheimer.
-
E.
Wertheim
Wertheim is a German-origin surname borne by various notable individuals in fields such as finance, philanthropy, and the arts.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ed0b76c8190ac61b949d88e9970 |
completed | April 29, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3098168481908aa4e4a985314db1 |
completed | May 19, 2026, 9:42 a.m. |
Created at: April 17, 2026, 4:01 p.m.