Triple
T13651472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serge |
E326747
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Sergiu |
E463994
|
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: Sergiu | Statement: [Serge, hasVariant, Sergiu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergiu Context triple: [Serge, hasVariant, Sergiu]
-
A.
Sergiu
chosen
Sergiu is a masculine given name of Romanian origin, notably borne by the renowned conductor Sergiu Celibidache.
-
B.
Timotei
Timotei is a given name, commonly used in Eastern European and Scandinavian countries, that is related to the name Timofey.
-
C.
Viorel
Viorel is a person known primarily as the child of Athena.
-
D.
Lucian Mureșan
Lucian Mureșan is a Romanian cardinal and Major Archbishop who leads the Romanian Greek Catholic Church.
-
E.
Mihai
Mihai is a Romanian given name, equivalent to Michael, commonly used for males in Romania and other Romanian-speaking communities.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc609676c8190b5b1cabe6b315142 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78affa3c481909dba71e2ce9f44c1 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:52 p.m.