Triple
T2700921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hip-Hop Violinist |
E59225
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Miri Ben-Ari |
E8563
|
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: Miri Ben-Ari | Statement: [The Hip-Hop Violinist, artist, Miri Ben-Ari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miri Ben-Ari Context triple: [The Hip-Hop Violinist, artist, Miri Ben-Ari]
-
A.
Miri Ben-Ari
chosen
Miri Ben-Ari is an Israeli-American violinist, producer, and composer known for blending classical violin with hip-hop and R&B, collaborating with major artists across genres.
-
B.
Moni Naor
Moni Naor is an Israeli computer scientist renowned for his foundational contributions to cryptography and theoretical computer science.
-
C.
Orna Kupferman
Orna Kupferman is an Israeli computer scientist known for her contributions to formal verification, automata theory, and logic in computer science.
-
D.
Oded Maler
Oded Maler is a computer scientist known for his contributions to formal verification, hybrid systems, and real-time systems theory.
-
E.
Orna Grumberg
Orna Grumberg is a prominent computer scientist known for her contributions to formal verification and model checking.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda4c8d34819094f5e4cbc5a4bb9b |
completed | March 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf7446f08190b5e073278725d1f4 |
completed | March 10, 2026, 5:43 a.m. |
Created at: March 6, 2026, 9:55 p.m.