Triple
T15893047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darius |
E385376
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Dario |
E596273
|
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: Dario | Statement: [Darius, hasVariant, Dario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dario Context triple: [Darius, hasVariant, Dario]
-
A.
Dario
chosen
Dario is a masculine given name of Italian origin, commonly used in various European and Latin American countries.
-
B.
Gian
Gian is an Italian given name, typically used as a short form or variant of Giovanni (the Italian equivalent of John).
-
C.
Danilo
Danilo is a masculine given name used in various Slavic and Romance languages, generally equivalent to Daniel and meaning "God is my judge."
-
D.
Riggo
Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
-
E.
Diego
Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563727cc819086b5c18b655dd7f6 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0497cb481908e8ea4ebb9c4039d |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.