Triple

T4390942
Position Surface form Disambiguated ID Type / Status
Subject François Chollet E99359 entity
Predicate notableWork P4 FINISHED
Object "Deep Learning with Python" E435216 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: "Deep Learning with Python" | Statement: [François Chollet, notableWork, "Deep Learning with Python"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: "Deep Learning with Python"
Context triple: [François Chollet, notableWork, "Deep Learning with Python"]
  • A. "Deep Learning with Python" chosen
    "Deep Learning with Python" is a practical book that introduces deep learning concepts and techniques using the Keras library and the Python ecosystem, aimed at helping developers and researchers build and understand modern neural networks.
  • B. book "Deep Learning with Python"
    "Deep Learning with Python" is a practical, example-driven book that introduces deep learning concepts and techniques using the Keras library and the Python ecosystem.
  • C. Deep Learning (book)
    Deep Learning (book) is a foundational textbook that systematically introduces the theory and practice of modern deep neural networks, co-authored by leading researchers including Yoshua Bengio.
  • D. Deeplearning.ai
    Deeplearning.ai is an online education company specializing in artificial intelligence and deep learning courses and resources.
  • E. Keras
    Keras is a high-level neural networks API written in Python that simplifies building, training, and deploying deep learning models, often running on top of frameworks like TensorFlow.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352843d7c8190929b94c94eaa63df completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5ec77d081909b07ebd004be136f completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:19 p.m.