Triple
T2867401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralf Baader |
E63472
|
entity |
| Predicate | hasFamilyName |
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: [Ralf Baader, hasFamilyName, Baader]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baader Context triple: [Ralf Baader, hasFamilyName, 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.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
-
C.
Hartmann
Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
-
D.
Mennekes
Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
-
E.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfbcebcc81909a78a1787d823e3e |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108ca2c108190b0a341cf039a82bf |
completed | March 11, 2026, 6:16 a.m. |
Created at: March 6, 2026, 10:02 p.m.