Triple
T21436044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svika Pick |
E528810
|
entity |
| Predicate | wroteSongFor |
P15505
|
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: [Svika Pick, wroteSongFor, Dana International]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana International Context triple: [Svika Pick, wroteSongFor, 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.
Daphna
Daphna is a feminine given name of Hebrew origin meaning "laurel" or "bay tree."
-
D.
Yoni Brenner
Yoni Brenner is a screenwriter and humorist known for his work on animated films, including contributing to the screenplay of "Rio 2."
-
E.
Karmei Tzur
Karmei Tzur is an Israeli settlement in the Gush Etzion region of the West Bank, located north of Hebron and known as a small religious community.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b5373994819088fbd82f31c3b0c8 |
completed | April 22, 2026, 11:47 a.m. |
Created at: April 16, 2026, 6:02 p.m.