Triple

T10520608
Position Surface form Disambiguated ID Type / Status
Subject Ronald J. Williams E248157 entity
Predicate hasCitationalImpactOn P13420 FINISHED
Object policy gradient reinforcement learning literature LITERAL 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: policy gradient reinforcement learning literature | Statement: [Ronald J. Williams, hasCitationalImpactOn, policy gradient reinforcement learning literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCitationalImpactOn
Context triple: [Ronald J. Williams, hasCitationalImpactOn, policy gradient reinforcement learning literature]
  • A. hasCitationImpact chosen
    Indicates that one entity (such as a publication, author, or venue) exerts measurable influence on scholarly work through citations it receives or generates.
  • B. isCitedFor
    Indicates that one entity references another as a source of information, evidence, or authority for a specific claim, idea, or contribution.
  • C. hasCanonicalImpactOn
    Indicates that one entity exerts a standard, authoritative, or officially recognized influence or effect on another entity.
  • D. citationOf
    Indicates that one entity cites, references, or formally acknowledges another entity as a source.
  • E. citesAs
    Indicates that one entity references or acknowledges another as a source of information, authority, or evidence.
  • F. None of above.

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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509de0b3081909bec337aa8ff193e completed April 7, 2026, 1:42 p.m.
PD Predicate disambiguation batch_69d4fb94fa10819091f585bab4379c6f completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:28 p.m.