Triple

T31380940
Position Surface form Disambiguated ID Type / Status
Subject Matthew E. Peters E800453 entity
Predicate citationsForWork P37348 FINISHED
Object Deep contextualized word representations is highly cited in NLP research NE NERFINISHED

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 contextualized word representations is highly cited in NLP research | Statement: [Matthew E. Peters, citationsForWork, Deep contextualized word representations is highly cited in NLP research]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: citationsForWork
Context triple: [Matthew E. Peters, citationsForWork, Deep contextualized word representations is highly cited in NLP research]
  • A. citesAs
    Indicates that one entity references or acknowledges another as a source of information, authority, or evidence.
  • B. citations chosen
    Indicates that one entity references another as a source of information, evidence, or authority, typically in a scholarly or informational context.
  • C. usedAsAuthorCitationFor
    Indicates that one entity is cited or referenced as the author in the bibliographic citation of another entity.
  • D. citationIn
    Indicates that one work cites, references, or otherwise acknowledges another work as a source.
  • E. citationsInclude
    Indicates that one entity’s set of references or citations contains or explicitly mentions another entity.
  • 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_69f224e84da08190abfc2f17494a33c8 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f6a0ea04888190ac3a813b603bcb5c completed May 3, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69f69fe463248190aa78128abeab1183 completed May 3, 2026, 1:07 a.m.
Created at: April 29, 2026, 9:18 p.m.