Triple
T2464591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore |
E55214
|
entity |
| Predicate | hasVariant |
P455
|
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: [Theodore, hasVariant, Teodoru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teodoru Context triple: [Theodore, hasVariant, Teodoru]
-
A.
Teodor
chosen
Teodor is a given name, commonly used in various European languages, that corresponds to the English name Theodore.
-
B.
Aurel
Aurel is a masculine given name most notably borne by the Hungarian-British archaeologist and explorer Aurel Stein, famed for his expeditions along the Silk Road.
-
C.
Claudiu Keșerü
Claudiu Keșerü is a Romanian professional footballer known as a prolific forward who has played for clubs in Romania and abroad as well as the Romanian national team.
-
D.
Gheorghe
Gheorghe is a common Romanian male given name of Greek origin, equivalent to George in English.
-
E.
Mihajlo
Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1216f44819094c46ae7c2c1e394 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b7af0d4819080fda496670bc5d7 |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:44 p.m.