Triple
T17303190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz von Baader |
E420090
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Baader |
E63472
|
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: Baader | Statement: [Franz von Baader, familyName, Baader]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baader Context triple: [Franz von Baader, familyName, Baader]
-
A.
Baader
chosen
Baader is a surname of German origin borne by various notable individuals in fields such as philosophy, theology, and activism.
-
B.
Baader-Meinhof
Baader-Meinhof is a short story by Don DeLillo that reflects his interest in terrorism, media, and contemporary history, drawing its title from the German left-wing militant group.
-
C.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
-
D.
Oberhauser
Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
-
E.
Erhardt
Erhardt is a German surname and given name, often considered a variant of Erhard, and is borne by various notable individuals in fields such as sports, arts, and public life.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438fc732481909065afddc5c687d4 |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180de8340819081eae1104d705de0 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:41 a.m.