Triple

T18629544
Position Surface form Disambiguated ID Type / Status
Subject Q-learning E455376 entity
Predicate publishedInJournal P309 FINISHED
Object Machine Learning — NE NERFINISHED

How this triple was built (3 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: Machine Learning | Statement: [Q-learning, publishedInJournal, Machine Learning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Machine Learning
Context triple: [Q-learning, publishedInJournal, Machine Learning]
  • A. Artificial Intelligence
    "Artificial Intelligence" is a pioneering early-1990s compilation series by Warp Records that helped define and popularize the genre of intelligent dance music (IDM).
  • B. MS in Machine Learning
    MS in Machine Learning is a specialized graduate program at Carnegie Mellon University focused on advanced theory and applications of machine learning and statistical methods for building intelligent systems.
  • C. ML
    ML is the postcode area in central Scotland that covers Motherwell and surrounding towns.
  • D. ML
    ML is a statically typed functional programming language developed at the University of Edinburgh, known for pioneering features like type inference, pattern matching, and modules that strongly influenced later languages such as Elm, Haskell, and OCaml.
  • E. ML
    ML is a post-nominal honorific indicating a recipient of Papua New Guinea’s Order of Logohu, a national order of merit.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Machine Learning
Target entity description: Machine Learning is a peer-reviewed scientific journal that publishes research on all aspects of machine learning and related artificial intelligence methods.
  • A. Artificial Intelligence
    "Artificial Intelligence" is a pioneering early-1990s compilation series by Warp Records that helped define and popularize the genre of intelligent dance music (IDM).
  • B. MS in Machine Learning
    MS in Machine Learning is a specialized graduate program at Carnegie Mellon University focused on advanced theory and applications of machine learning and statistical methods for building intelligent systems.
  • C. ML
    ML is the postcode area in central Scotland that covers Motherwell and surrounding towns.
  • D. ML
    ML is a statically typed functional programming language developed at the University of Edinburgh, known for pioneering features like type inference, pattern matching, and modules that strongly influenced later languages such as Elm, Haskell, and OCaml.
  • E. ML
    ML is a post-nominal honorific indicating a recipient of Papua New Guinea’s Order of Logohu, a national order of merit.
  • F. None of above. chosen

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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f06f4a081909b64f33814577488 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.