Triple
T13415006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johanna Carolina Bach |
E313189
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Carolina |
E365144
|
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: Carolina | Statement: [Johanna Carolina Bach, givenName, Carolina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carolina Context triple: [Johanna Carolina Bach, givenName, Carolina]
-
A.
Carolina
"Carolina" is a popular song by Brazilian musician Seu Jorge, known for its smooth blend of samba and MPB influences.
-
B.
Carolina
chosen
Carolina is a feminine given name of Latin origin, commonly used in various languages as a form of Caroline or Charles.
-
C.
Carolina
"Carolina" is a country music album by American singer-songwriter Eric Church that helped establish his reputation for blending traditional country with rock influences.
-
D.
Carolina
Carolina is a small town in South Africa’s Mpumalanga province, known historically for coal mining and its rural, highveld surroundings.
-
E.
Carolina
Carolina is a landmark 16th-century criminal code of the Holy Roman Empire, issued under Emperor Charles V and known for systematizing criminal law and procedure in German territories.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb6e904819098cc9153fd2feaf5 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73987cc088190839e8a589086639c |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:39 p.m.