Triple
T17693946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Erez |
E441109
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Yuval Tassa |
E441110
|
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: Yuval Tassa | Statement: [Tom Erez, coAuthorWith, Yuval Tassa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuval Tassa Context triple: [Tom Erez, coAuthorWith, Yuval Tassa]
-
A.
Yuval Tassa
chosen
Yuval Tassa is a researcher in reinforcement learning and control who co-authored the work that introduced the Deep Deterministic Policy Gradient (DDPG) algorithm.
-
B.
Yuval Ishai
Yuval Ishai is a computer scientist known for his influential work in cryptography, particularly in secure multiparty computation and related areas of theoretical cryptography.
-
C.
Uriel Feige
Uriel Feige is an Israeli computer scientist known for his influential work in computational complexity theory, approximation algorithms, and probabilistically checkable proofs.
-
D.
Gavriel Shamir
Gavriel Shamir was an Israeli graphic designer best known for co-designing the official emblem of the State of Israel.
-
E.
Jonathan Rothberg
Jonathan Rothberg is an American scientist, inventor, and entrepreneur best known for pioneering next-generation DNA sequencing technologies and founding multiple genomics companies.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715485d88190b9b6f347ff85d7c7 |
completed | April 19, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02301aab388190a6a44feb57468201 |
completed | May 11, 2026, 7:38 p.m. |
Created at: April 10, 2026, 10:04 a.m.