Triple
T12816740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John F. Hartwig |
E306421
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hartwig |
E625390
|
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: Hartwig | Statement: [John F. Hartwig, familyName, Hartwig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartwig Context triple: [John F. Hartwig, familyName, Hartwig]
-
A.
Hartwig
chosen
Hartwig is a masculine given name of Germanic origin, historically borne by various notable figures including nobles, clergy, and modern professionals.
-
B.
Holger
Holger is a masculine given name of Scandinavian origin, commonly used in countries such as Sweden and Denmark.
-
C.
Werner
Werner is a given name and surname of Germanic origin, commonly used in German-speaking countries.
-
D.
Othmar
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
-
E.
Siegfried Handloser
Siegfried Handloser was a high-ranking German military physician and Surgeon General of the Wehrmacht who was tried as a war criminal for his role in Nazi medical atrocities during World War II.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9d00088190ac0f5d60e1de7a7c |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ecee33c8190a6bf045731bb9326 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:31 p.m.