Triple
T13013202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Britta Phillips |
E322474
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Britta |
E303772
|
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: Britta | Statement: [Britta Phillips, givenName, Britta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Britta Context triple: [Britta Phillips, givenName, Britta]
-
A.
Britta
chosen
Britta is a feminine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
-
B.
Brita
Brita is a fictional character from the film "A Double Life," contributing to the drama’s exploration of identity and psychological turmoil.
-
C.
Cloetta Fazer
Cloetta Fazer was a Nordic confectionery company formed by the merger of Swedish firm Cloetta and Finnish firm Fazer’s confectionery operations, known for producing popular chocolates and sweets in Northern Europe.
-
D.
Melitta
Melitta is a feminine given name of Greek origin, closely related to Melissa and historically associated with meanings like “bee” and “honey.”
-
E.
the Teapot
The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecbb8f4819094d55eb07cb5ad97 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11290e08190a41c162d47094203 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:49 p.m.