Triple
T15848350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petre Roman |
E384269
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Oana Roman |
E1181401
|
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: Oana Roman | Statement: [Petre Roman, child, Oana Roman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oana Roman Context triple: [Petre Roman, child, Oana Roman]
-
A.
Mioara Roman
chosen
Mioara Roman is a Romanian public figure best known as the former wife of post-Communist Romanian Prime Minister Petre Roman.
-
B.
Simona Păucă
Simona Păucă is a Romanian artistic gymnast best known for winning multiple medals, including team gold and individual bronze, at the 1984 Summer Olympics.
-
C.
Andreea Paduraru
Andreea Păduraru is an actress known for her role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
D.
Anca Faur
Anca Faur is a Romanian-American chemical engineer and business executive best known as the wife of Apollo 11 astronaut Buzz Aldrin.
-
E.
Elena Epureanu
Elena Epureanu was a Romanian aristocrat and social figure, known primarily as the mother of diplomat and writer Prince Antoine Bibesco.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14ca96c588190922b1f7556dd08cf |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb03c8cb081908c18c7b2d143c4b4 |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 10, 2026, 4:50 a.m.