Triple
T22454089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eunetta T. Boone |
E555067
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Eunetta |
—
|
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: Eunetta | Statement: [Eunetta T. Boone, givenName, Eunetta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eunetta Context triple: [Eunetta T. Boone, givenName, Eunetta]
-
A.
Nenita
Nenita is a village on the Greek island of Chios, known for its traditional mastic cultivation and characteristic island architecture.
-
B.
Ernestina
Ernestina is a feminine given name of Germanic origin, historically borne by European nobility such as Leonor Ernestina von Daun.
-
C.
Lucilla
Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
-
D.
Eunice
chosen
Eunice is a feminine given name of Greek origin, commonly associated with women in English-speaking countries.
-
E.
Pasqualina
Pasqualina is an Italian feminine given name, traditionally associated with the Easter period and used in various regions of Italy.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4e2bd4819083e5bed44e9776c6 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.