Triple
T13507426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micha Sharir |
E321048
|
entity |
| Predicate | hasCoAuthor |
P2389
|
FINISHED |
| Object | Noga Alon |
E157415
|
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: Noga Alon | Statement: [Micha Sharir, hasCoAuthor, Noga Alon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noga Alon Context triple: [Micha Sharir, hasCoAuthor, Noga Alon]
-
A.
Noga Alon
chosen
Noga Alon is an Israeli mathematician renowned for his influential work in combinatorics, graph theory, and theoretical computer science.
-
B.
Assaf Naor
Assaf Naor is an Israeli mathematician renowned for his work in functional analysis, metric geometry, and theoretical computer science.
-
C.
Eyal Kushilevitz
Eyal Kushilevitz is an Israeli computer scientist known for his influential work in cryptography, communication complexity, and theoretical computer science.
-
D.
Moni Naor
Moni Naor is an Israeli computer scientist renowned for his foundational contributions to cryptography and theoretical computer science.
-
E.
Ehud Kalai
Ehud Kalai is an Israeli-American game theorist and economist known for his influential contributions to bargaining theory, game theory, and economic theory.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9009688190b8f18bb3525c6afd |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:43 p.m.