Triple
T7767353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugenie Besserer |
E178982
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Eugenie |
E282630
|
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: Eugenie | Statement: [Eugenie Besserer, givenName, Eugenie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eugenie Context triple: [Eugenie Besserer, givenName, Eugenie]
-
A.
Eugenie
Eugenie is a member of the British royal family, best known as Princess Eugenie of York, the younger daughter of Prince Andrew and Sarah, Duchess of York.
-
B.
Eugenie
chosen
Eugenie is the birth name of American silent-film star Billie Dove, a popular actress of the 1920s and early 1930s.
-
C.
Josephine
"Josephine" is a song featured on the album *Higher Truth* by Chris Cornell.
-
D.
Josephine
Josephine is a feminine given name of Hebrew origin, commonly regarded as the French and English form of Joseph meaning "God will increase."
-
E.
Marie
Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7043451bc8190a76ee066b779b7d7 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e4976c81909ff34dcdcae96999 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.