Triple
T12491837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Probabilistic Graphical Models: Principles and Techniques |
E298583
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Nir Friedman |
E298584
|
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: Nir Friedman | Statement: [Probabilistic Graphical Models: Principles and Techniques, author, Nir Friedman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nir Friedman Context triple: [Probabilistic Graphical Models: Principles and Techniques, author, Nir Friedman]
-
A.
Nir Friedman
chosen
Nir Friedman is a computer scientist and computational biologist known for his influential work on probabilistic graphical models and their applications to biological data.
-
B.
Nir Bergman
Nir Bergman is an Israeli film and television director and screenwriter known for his influential work in character-driven dramas.
-
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.
Avi Kivity
Avi Kivity is an Israeli software engineer best known as the original creator of the KVM virtualization infrastructure for the Linux kernel.
-
E.
Nir Piterman
Nir Piterman is a computer scientist known for his work in formal verification, automata theory, and temporal logic.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de3076c81909640c982d520ca6b |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6685bafcc8190beae748d979762e1 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:56 p.m.