Triple
T20836622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miklós Ajtai |
E512974
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object | Noga Alon |
—
|
NE NERFINISHED |
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: [Miklós Ajtai, coAuthor, Noga Alon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noga Alon Context triple: [Miklós Ajtai, coAuthor, 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.
Eli Upfal
Eli Upfal is a computer scientist known for his contributions to randomized algorithms, probabilistic analysis, and theoretical computer science.
-
D.
Eyal Kushilevitz
Eyal Kushilevitz is an Israeli computer scientist known for his influential work in cryptography, communication complexity, and theoretical computer science.
-
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 (2 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c326daec8190bd4caa41a4b38833 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.