Triple
T18072642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Dano |
E432468
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dano |
—
|
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: Dano | Statement: [Royal Dano, familyName, Dano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dano Context triple: [Royal Dano, familyName, Dano]
-
A.
Dano
chosen
Dano is a surname most notably associated with American actress and television host Linda Dano.
-
B.
Julijan
Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
-
C.
Timotej
Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
-
D.
Matija
Matija is a South Slavic given name, equivalent to the English name Matthew.
-
E.
Danilo
Danilo is a masculine given name used in various Slavic and Romance languages, generally equivalent to Daniel and meaning "God is my judge."
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccef022c81909be41b2c3a3ee68e |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.