Triple
T14393471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Master Algorithm |
E356899
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Pedro Domingos |
E356899
|
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: Pedro Domingos | Statement: [The Master Algorithm, author, Pedro Domingos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pedro Domingos Context triple: [The Master Algorithm, author, Pedro Domingos]
-
A.
Pedro Domingos
chosen
Pedro Domingos is a prominent computer scientist and machine learning researcher known for his influential work on data mining, probabilistic modeling, and the popular science book "The Master Algorithm."
-
B.
Miguel Fisac
Miguel Fisac was a prominent 20th-century Spanish architect known for his innovative use of concrete and expressive structural forms in religious and public buildings.
-
C.
Daniel Rezende
Daniel Rezende is a Brazilian film editor best known for his acclaimed work on internationally recognized films such as "City of God" and other major cinematic projects.
-
D.
Dario Amodei
Dario Amodei is an AI researcher and entrepreneur, co-founder and CEO of Anthropic and former OpenAI research leader known for his work on large language models and AI safety.
-
E.
Thore Graepel
Thore Graepel is a German computer scientist and machine learning researcher known for his work at DeepMind on game-playing AI systems and reinforcement learning.
- 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_69fd551b006c8190b84449f2e2b59b62 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.