Triple
T15890907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mihai Tudose |
E385315
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mihai |
E114790
|
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: Mihai | Statement: [Mihai Tudose, givenName, Mihai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mihai Context triple: [Mihai Tudose, givenName, Mihai]
-
A.
Mihai
chosen
Mihai is a Romanian given name, equivalent to Michael, commonly used for males in Romania and other Romanian-speaking communities.
-
B.
Timotei
Timotei is a given name, commonly used in Eastern European and Scandinavian countries, that is related to the name Timofey.
-
C.
Mircea
Mircea is a Romanian Navy tall training ship, a three-masted barque built in the 1930s and used for the instruction of naval cadets.
-
D.
Nicușor
Nicușor is a Romanian masculine given name, often used as a diminutive or affectionate form of Nicolae.
-
E.
Viorel
Viorel is a person known primarily as the child of Athena.
- 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_69e1561e5ac481908ead7de3140c769d |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb047b6248190b6c11ef20636f50f |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.