Triple
T22605964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana International |
E566557
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dana International |
—
|
NE NERFINISHED |
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: Dana International | Statement: [Dana International, name, Dana International]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana International Context triple: [Dana International, name, Dana International]
-
A.
Dana International
chosen
Dana International is an Israeli pop singer and transgender icon best known for winning the Eurovision Song Contest in 1998 with the song "Diva."
-
B.
Nili Priel
Nili Priel is an Israeli public figure best known as the wife of former Prime Minister and Defense Minister Ehud Barak.
-
C.
Odessa A’zion
Odessa A’zion is an American actress known for her television roles in series such as "Grand Army" and "Fam," as well as various film and streaming projects.
-
D.
Daphna
Daphna is a feminine given name of Hebrew origin meaning "laurel" or "bay tree."
-
E.
Yoni Brenner
Yoni Brenner is a screenwriter and humorist known for his work on animated films, including contributing to the screenplay of "Rio 2."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1627172488190beb87df965498bcc |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:54 p.m.