Triple
T12799382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Army Faction |
E305972
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | Andreas Baader |
E305971
|
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: Andreas Baader | Statement: [Red Army Faction, hasNotableMember, Andreas Baader]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andreas Baader Context triple: [Red Army Faction, hasNotableMember, Andreas Baader]
-
A.
Andreas Baader
chosen
Andreas Baader was a leading member of the far-left militant Red Army Faction in West Germany, known for his involvement in terrorist activities during the 1970s.
-
B.
Clemens Baader
Clemens Baader was a German writer and Catholic publicist of the late 18th and early 19th centuries, known for his religious and political essays.
-
C.
Bernhard Baader
Bernhard Baader was a 19th-century German folklorist known for collecting and publishing regional legends and folk tales.
-
D.
Ralf Baader
Ralf Baader is a German logician and computer scientist known for his contributions to description logics and knowledge representation.
-
E.
Carl Meinhof
Carl Meinhof was a German linguist renowned for his pioneering work on Bantu and other African languages, helping to establish comparative African linguistics as a field.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6f858c8190915ede38e9a6a2df |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a544badc8190877c39728e57af6f |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:30 p.m.