Triple
T13751456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jakob Rosanes |
E330360
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jakob |
E880207
|
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: Jakob | Statement: [Jakob Rosanes, givenName, Jakob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jakob Context triple: [Jakob Rosanes, givenName, Jakob]
-
A.
Jakob
chosen
Jakob is the given name of Johann Jakob Kaup, a 19th-century German naturalist and zoologist known for his work in classifying vertebrates.
-
B.
Jaccob
Jaccob is a masculine given name most notably borne by American professional ice hockey defenseman Jaccob Slavin.
-
C.
Jakobs
Jakobs is the maiden surname of Barbara Orbison, the German-born music producer and widow of rock and roll legend Roy Orbison.
-
D.
Jakob Ihre
Jakob Ihre is a Swedish cinematographer known for his visually nuanced work on acclaimed films such as "The End of the Tour" and collaborations with prominent international directors.
-
E.
Jacob's
Jacob's is a well-known biscuit brand originating from Ireland, recognized for products like cream crackers and a variety of sweet and savory biscuits.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02148c208190a882927905a861a6 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8560614819085958205637f3863 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.