Triple
T16953140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intense |
E411231
|
entity |
| Predicate | featuresArtist |
P1952
|
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: [Intense, featuresArtist, Miri Ben-Ari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miri Ben-Ari Context triple: [Intense, featuresArtist, 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.
Sarit Kraus
Sarit Kraus is an Israeli computer scientist known for her influential work in artificial intelligence, multi-agent systems, and human-agent interaction.
-
C.
Amir Shinar
Amir Shinar is an Israeli entrepreneur and software engineer best known as one of the co-founders of the GPS navigation and traffic app Waze.
-
D.
Vered Bar-El
Vered Bar-El is a character featured in the comic book series "The Source."
-
E.
Moni Naor
Moni Naor is an Israeli computer scientist renowned for his foundational contributions to cryptography and theoretical computer science.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01a4ae8819085a6ce01fbc71b0f |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46213b08190b33b48d12bc795d1 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.