Triple
T2065763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolae Ceaușescu |
E45896
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nicolae |
E223694
|
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: Nicolae | Statement: [Nicolae Ceaușescu, givenName, Nicolae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolae Context triple: [Nicolae Ceaușescu, givenName, Nicolae]
-
A.
Nicolae
chosen
Nicolae is a Romanian masculine given name commonly used across various generations and regions of Romania.
-
B.
Nicolae Ceaușescu
Nicolae Ceaușescu was the communist leader of Romania from 1965 until his overthrow and execution in 1989, known for his authoritarian rule, extensive cult of personality, and repressive security apparatus.
-
C.
Constantin Constantinescu-Claps
Constantin Constantinescu-Claps was a Romanian general best known for commanding Romanian forces on the Eastern Front during World War II, including at the Battle of Stalingrad.
-
D.
Victor Vianu
Victor Vianu is a computer scientist known for his contributions to database theory and finite model theory, who has also served as editor-in-chief of leading theoretical computer science journals.
-
E.
Dumitru Erhan
Dumitru Erhan is a computer scientist and machine learning researcher known for influential work in deep learning and neural networks.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f0cb888190a97884f5a722d91f |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae305263f88190b448fb134163d5aa |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:40 p.m.