Triple

T20128030
Position Surface form Disambiguated ID Type / Status
Subject The Monk of Mokha E490807 entity
Predicate hasReviewIn P1394 FINISHED
Object NPR 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: NPR | Statement: [The Monk of Mokha, hasReviewIn, NPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NPR
Context triple: [The Monk of Mokha, hasReviewIn, NPR]
  • A. NPR
    NPR is the official currency code for the Nepalese rupee, the national currency of Nepal.
  • B. National Public Radio chosen
    National Public Radio (NPR) is a nonprofit American media organization that produces and distributes news, talk, and cultural programming to a network of public radio stations across the United States.
  • C. American Public Media
    American Public Media is a major U.S. public radio producer and distributor known for creating and syndicating national programs to public radio stations across the country.
  • D. NPR Foundation
    The NPR Foundation is the nonprofit organization that manages and grows financial resources to support National Public Radio’s public media mission.
  • E. New York Public Radio
    New York Public Radio is a nonprofit media organization that operates leading public radio stations and produces acclaimed news, talk, and cultural programming in the New York City area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6675fe3d48190b0c20b483a951e68 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:31 p.m.