Triple

T18753908
Position Surface form Disambiguated ID Type / Status
Subject E458596 entity
Predicate koreanReadingHangul P52969 FINISHED
Object 임 (im) 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: 임 (im) | Statement: [林, koreanReadingHangul, 임 (im)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 임 (im)
Context triple: [林, koreanReadingHangul, 임 (im)]
  • A. IMK
    IMK is the German Standing Conference of the Interior Ministers of the federal states, a key body for coordinating internal security and domestic policy across Germany’s Länder.
  • B. Imn
    Imn is the ancient Egyptian deity more commonly known as Amun, a major god associated with hiddenness, creation, and later the sun.
  • C. IMB
    IMB was a large underground water Cherenkov detector in the United States, originally built to search for proton decay and later known for detecting neutrinos from supernova SN 1987A.
  • D. IMB
    IMB is a Christian missionary organization of the Southern Baptist Convention that focuses on sending and supporting missionaries around the world.
  • E. Im chosen
    Im is a common Korean family name, often romanized as Lim or Yim, with several distinct clan lineages in Korea.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579ef4ee48190a9892ac9787ffe37 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.