Triple
T9545086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolf Carls |
E230260
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rolf Carls |
E230260
|
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: Rolf Carls | Statement: [Rolf Carls, name, Rolf Carls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rolf Carls Context triple: [Rolf Carls, name, Rolf Carls]
-
A.
Rolf Carls
chosen
Rolf Carls was a high-ranking German naval officer and admiral who played a significant command role in the Kriegsmarine during the World Wars.
-
B.
Rolf Carlé
Rolf Carlé is a central character in Isabel Allende’s novel "Eva Luna," portrayed as a European-born television journalist whose complex past and evolving relationship with the protagonist shape much of the story’s emotional and political landscape.
-
C.
Rolf A. Wilhelm
Rolf A. Wilhelm was a German composer and arranger best known for his prolific work in film and television music during the mid-20th century.
-
D.
Rolf Nilsen
Rolf Nilsen is a businessman best known as the owner of the Ontario Hockey League’s Flint Firebirds.
-
E.
Rolf Noyer
Rolf Noyer is an American linguist known for his influential work in morphology, phonology, and theoretical syntax, particularly within the framework of Distributed Morphology.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9901f2bc8190a4076f5947660df9 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d597224481908154e5db47ae52f9 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:01 p.m.