Triple

T1872817
Position Surface form Disambiguated ID Type / Status
Subject Ron Reagan E39069 entity
Predicate employer P7 FINISHED
Object KPTK-AM Seattle
KPTK-AM Seattle was a progressive talk radio station in Seattle, Washington, known for airing liberal political programming and syndicated hosts.
E208130 NE FINISHED

How this triple was built (4 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: KPTK-AM Seattle | Statement: [Ron Reagan, employer, KPTK-AM Seattle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KPTK-AM Seattle
Context triple: [Ron Reagan, employer, KPTK-AM Seattle]
  • A. KRDC (AM)
    KRDC (AM) is a Los Angeles-area AM radio station owned by The Walt Disney Company and associated with KABC-TV as a sister outlet.
  • B. KSPN (AM)
    KSPN (AM) is a Los Angeles-based sports radio station that serves as the local ESPN Radio affiliate.
  • C. KDKA (AM)
    KDKA (AM) is a historic Pittsburgh radio station widely recognized as one of the first commercially licensed broadcast stations in the United States.
  • D. KEWR
    KEWR is the ICAO airport code for Newark Liberty International Airport, a major commercial airport serving the New York City metropolitan area.
  • E. KGO-TV
    KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KPTK-AM Seattle
Triple: [Ron Reagan, employer, KPTK-AM Seattle]
Generated description
KPTK-AM Seattle was a progressive talk radio station in Seattle, Washington, known for airing liberal political programming and syndicated hosts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KPTK-AM Seattle
Target entity description: KPTK-AM Seattle was a progressive talk radio station in Seattle, Washington, known for airing liberal political programming and syndicated hosts.
  • A. KRDC (AM)
    KRDC (AM) is a Los Angeles-area AM radio station owned by The Walt Disney Company and associated with KABC-TV as a sister outlet.
  • B. KSPN (AM)
    KSPN (AM) is a Los Angeles-based sports radio station that serves as the local ESPN Radio affiliate.
  • C. KDKA (AM)
    KDKA (AM) is a historic Pittsburgh radio station widely recognized as one of the first commercially licensed broadcast stations in the United States.
  • D. KEWR
    KEWR is the ICAO airport code for Newark Liberty International Airport, a major commercial airport serving the New York City metropolitan area.
  • E. KGO-TV
    KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
  • F. None of above. chosen

Provenance (5 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0d4dc6c81908ecd55abd779ae3a completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1de8728819090e80868f27c09af completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add25c9c208190a576cf1123c0a2e6 completed March 8, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69add32c32b08190be6624eefa2fa386 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:34 p.m.