Triple
T18961861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Smear |
E463932
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ruthenberg |
E1070362
|
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: Ruthenberg | Statement: [Pat Smear, familyName, Ruthenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruthenberg Context triple: [Pat Smear, familyName, Ruthenberg]
-
A.
Ruthenberg
chosen
Ruthenberg is a German-origin surname borne by various individuals, including American socialist leader Charles Ruthenberg.
-
B.
Ruttenberg
Ruttenberg is a surname most notably associated with Joseph Ruttenberg, an acclaimed cinematographer in American cinema.
-
C.
Löhr
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
-
D.
Burgberg
Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
-
E.
Burgberg
Burgberg is a hill known for hosting the Burgberg cable car, a popular ascent route and viewpoint in its region.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d368488190b0c7489335e5dd91 |
completed | April 20, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fd91b248190962ec54be5d75d59 |
completed | May 14, 2026, 10:11 a.m. |
Created at: April 10, 2026, noon