Triple
T11408981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teodoro |
E270315
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Teodoru |
E270314
|
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: Teodoru | Statement: [Teodoro, hasVariantForm, Teodoru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teodoru Context triple: [Teodoro, hasVariantForm, Teodoru]
-
A.
Teodor
chosen
Teodor is a given name, commonly used in various European languages, that corresponds to the English name Theodore.
-
B.
Vasile
Vasile is a masculine given name, primarily used in Romania and Moldova, derived from the Greek name Basil (Basileios), meaning "kingly" or "royal."
-
C.
Timotei
Timotei is a given name, commonly used in Eastern European and Scandinavian countries, that is related to the name Timofey.
-
D.
Miron
Miron is a masculine given name of Slavic and Greek origin, commonly used in Eastern Europe and derived from a word meaning "myrrh" or "fragrant oil."
-
E.
Dimitar
Dimitar is a masculine given name of Slavic origin, commonly used in Bulgaria and other Eastern European countries.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014e72748190a01bde2f0105cedb |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3470e208190aef43936bac2e4e9 |
completed | April 20, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:34 p.m.