Triple
T17630728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie |
E429968
|
entity |
| Predicate | creatorOfCharacter |
P40162
|
FINISHED |
| Object | Ori Sivan |
—
|
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: Ori Sivan | Statement: [Sophie, creatorOfCharacter, Ori Sivan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ori Sivan Context triple: [Sophie, creatorOfCharacter, Ori Sivan]
-
A.
Ori Sivan
chosen
Ori Sivan is an Israeli screenwriter and director best known for co-creating the acclaimed psychological drama series "BeTipul," which inspired the American adaptation "In Treatment."
-
B.
Ori Marmur
Ori Marmur is a film producer known for his work on the science fiction thriller "Passengers."
-
C.
Lahav Shani
Lahav Shani is an acclaimed Israeli conductor and pianist who serves as music director of the Israel Philharmonic Orchestra and is recognized as one of the leading conductors of his generation.
-
D.
Roni Ashuri
Roni Ashuri is an entrepreneur and technology executive best known as a founder of the Israeli high-performance networking company Mellanox Technologies.
-
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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dc01b1c819099e3329cfb8cb77f |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.