Triple
T2464590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore |
E55214
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Teodoras |
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: Teodoras | Statement: [Theodore, hasVariant, Teodoras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teodoras Context triple: [Theodore, hasVariant, Teodoras]
-
A.
Simas
Simas is a surname most notably associated with David Simas, an American lawyer and former political advisor who served in the Obama administration.
-
B.
Teodor
chosen
Teodor is a given name, commonly used in various European languages, that corresponds to the English name Theodore.
-
C.
Mikelis
Mikelis is a given name, primarily used in Latvia, that serves as a local variant of the name Michael.
-
D.
Andris
Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
-
E.
Taras
Taras is the ancient Greek city in southern Italy that later became known by its Roman name Tarentum.
- 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_69af1f84e1a481908fa67498f2bd1984 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:44 p.m.