Triple
T13876501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junii Silani |
E333596
|
entity |
| Predicate | nomen |
P744
|
FINISHED |
| Object | Junius |
E932962
|
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: Junius | Statement: [Junii Silani, nomen, Junius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junius Context triple: [Junii Silani, nomen, Junius]
-
A.
Junius
Junius is the given name of Junius Brutus Booth, a prominent 19th-century English actor and father of John Wilkes Booth.
-
B.
Junius
chosen
Junius was an ancient Roman family name (nomen) borne by various notable members of the Roman elite.
-
C.
Count Julian
Count Julian is a legendary Gothic nobleman best known in literature and legend for his pivotal role in the downfall of the Visigothic kingdom in Spain.
-
D.
Erastus
Erastus is a masculine given name of Greek origin, historically associated with early Christian figures and later borne by various American politicians and public figures.
-
E.
Newton Pulsifer
Newton Pulsifer is a bumbling yet well-meaning young witchfinder who becomes an unlikely hero in Neil Gaiman and Terry Pratchett’s comic apocalyptic novel *Good Omens*.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be556708190bbcf0b3583f677e3 |
completed | April 14, 2026, 9:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c10bb92c8190bd5ab9a5e1d7fabe |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:15 p.m.