Triple
T17591372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessie Oriana Huxley |
E428455
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | Oriana |
—
|
NE NERFINISHED |
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: Oriana | Statement: [Jessie Oriana Huxley, hasMiddleName, Oriana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oriana Context triple: [Jessie Oriana Huxley, hasMiddleName, Oriana]
-
A.
Oriana
chosen
Oriana is a feminine given name of Latin origin, often associated with meanings like "golden" or "dawn."
-
B.
Letizia
Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
-
C.
Cecilia
Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
-
D.
Cecilia
"Cecilia" is a popular, upbeat folk-rock song by the American duo Simon & Garfunkel, known for its catchy rhythm and playful lyrics.
-
E.
Amelita
Amelita is a supporting female character in the Western film "Rio Lobo," involved in the story’s frontier conflicts and alliances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e6e3888190b73a5b6d7e8c0a55 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.