Triple
T10408674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leona |
E245330
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Leonardo |
unclear NED1
|
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: Leonardo | Statement: [Leona, hasRelatedName, Leonardo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonardo Context triple: [Leona, hasRelatedName, Leonardo]
-
A.
Leonardo
Leonardo is the first name of Leonardo DiCaprio, the acclaimed American actor and environmental activist known for films such as Titanic and Inception.
-
B.
Leonardo
Leonardo is the katana-wielding, blue-masked leader of the Teenage Mutant Ninja Turtles in the popular comic, TV, and film franchise.
-
C.
Leonardo da Vinci
Leonardo da Vinci was a Renaissance polymath renowned as a master painter, inventor, scientist, and engineer whose works and ideas profoundly influenced art and science.
-
D.
Leonardo Vetra
Leonardo Vetra is a fictional CERN physicist and priest in Dan Brown's novel "Angels & Demons," known for his groundbreaking antimatter research and as the adoptive father of Vittoria Vetra.
-
E.
Vinci Da
Vinci Da is a Bengali psychological thriller film directed by Srijit Mukherji, centered on a make-up artist drawn into a series of morally complex crimes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9faa97c819092cadedadabe26bf |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f7bfce881908239cbb0915a5b81 |
completed | April 10, 2026, 6:58 a.m. |
Created at: April 6, 2026, 12:09 p.m.