Triple
T15585285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uri Levine |
E374604
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Uri Levine |
E374604
|
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: Uri Levine | Statement: [Uri Levine, name, Uri Levine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uri Levine Context triple: [Uri Levine, name, Uri Levine]
-
A.
Uri Levine
chosen
Uri Levine is an Israeli entrepreneur best known as the co-founder of the GPS navigation app Waze, which was acquired by Google.
-
B.
David Levine
David Levine is best known as the husband of American composer and singer Lucy Simon.
-
C.
Brian Levant
Brian Levant is an American film and television director best known for family comedies such as "Beethoven," "The Flintstones," and "Jingle All the Way."
-
D.
Jonathan Levy
Jonathan Levy is a central character in the 2021 television miniseries "Scenes from a Marriage," serving as one half of the story’s intensely examined romantic relationship.
-
E.
Mark Levine
Mark Levine is an entrepreneur best known as a co-founder of the subscription-based grooming company Dollar Shave Club.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4900408190aadb48b001db4169 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3b205dc81908c4194a931d94074 |
completed | May 9, 2026, 11:30 p.m. |
Created at: April 10, 2026, 4:11 a.m.