Triple
T14393469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Domingos |
E356899
|
entity |
| Predicate | hasWritten |
P2831
|
FINISHED |
| Object | The Master Algorithm |
E1096523
|
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: The Master Algorithm | Statement: [Pedro Domingos, hasWritten, The Master Algorithm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Master Algorithm Context triple: [Pedro Domingos, hasWritten, The Master Algorithm]
-
A.
The Master Algorithm
chosen
The Master Algorithm is a popular science book by Pedro Domingos that explores the unification of different machine learning paradigms into a single, overarching "master" learning algorithm.
-
B.
“Probably Approximately Correct” (book)
“Probably Approximately Correct” is a 2013 book by computer scientist Leslie Valiant that explores how ideas from computational learning theory can explain intelligence, evolution, and the way we understand the world.
-
C.
How to Create a Mind
"How to Create a Mind" is a nonfiction book by futurist Ray Kurzweil that explores the workings of human intelligence and proposes designs for advanced artificial intelligence based on the brain’s principles.
-
D.
The Algorithm
"The Algorithm" is a track from Ludwig Göransson's score for the 2020 science-fiction thriller film *Tenet*, known for its complex, time-bending musical structure that mirrors the movie’s inversion themes.
-
E.
Hello World: How to be Human in the Age of the Machine
"Hello World: How to be Human in the Age of the Machine" is a popular science book by mathematician Hannah Fry that explores how algorithms shape modern life and examines the balance between human judgment and machine decision-making.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902d114881908a8f3c01b3c6d309 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648409f48190b099cd137879487e |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:16 a.m.