Triple
T10985606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elena Ivanovna Diakonova |
E259621
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Elena |
E86412
|
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: Elena | Statement: [Elena Ivanovna Diakonova, givenName, Elena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elena Context triple: [Elena Ivanovna Diakonova, givenName, Elena]
-
A.
Elena
Elena is a fictional character portrayed by American actress Dominique Fishback.
-
B.
Elena
chosen
Elena is a feminine given name of Greek origin, commonly used in many languages as a variant of Helen or Helena.
-
C.
Elena
"Elena" is a 2011 Russian drama film by director Andrey Zvyagintsev that explores moral compromise, class tension, and family conflict in contemporary Moscow.
-
D.
Elena
Elena is a character in the classic French farce "Il cappello di paglia di Firenze" ("The Florentine Straw Hat"), involved in the play’s intricate web of misunderstandings and comic situations.
-
E.
Elena of Avalor
Elena of Avalor is an animated Disney television series following a brave Latina princess who rules the magical kingdom of Avalor.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b2e4a88190a81504eee77e2298 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344d860b08190a035570191c54d7c |
completed | April 18, 2026, 8:46 a.m. |
Created at: April 8, 2026, 9:24 p.m.