Triple

T14126645
Position Surface form Disambiguated ID Type / Status
Subject Savannah Guthrie E340049 entity
Predicate employer P7 FINISHED
Object KMIZ
KMIZ is a local television station serving the Columbia–Jefferson City, Missouri market.
E1081345 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: KMIZ | Statement: [Savannah Guthrie, employer, KMIZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KMIZ
Context triple: [Savannah Guthrie, employer, KMIZ]
  • A. KNZM
    KNZM is the post-nominal title used by individuals appointed as Knights Companion of the New Zealand Order of Merit, one of New Zealand’s principal honours.
  • B. KMCI
    KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
  • C. KMFE
    KMFE is the ICAO airport code for McAllen International Airport in McAllen, Texas, a regional hub serving the Rio Grande Valley.
  • D. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • E. KMOR
    KMOR is the ICAO airport code for Morristown Regional Airport in Morristown, Tennessee, United States.
  • 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: KMIZ
Triple: [Savannah Guthrie, employer, KMIZ]
Generated description
KMIZ is a local television station serving the Columbia–Jefferson City, Missouri market.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KMIZ
Target entity description: KMIZ is a local television station serving the Columbia–Jefferson City, Missouri market.
  • A. KNZM
    KNZM is the post-nominal title used by individuals appointed as Knights Companion of the New Zealand Order of Merit, one of New Zealand’s principal honours.
  • B. KMCI
    KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
  • C. KMFE
    KMFE is the ICAO airport code for McAllen International Airport in McAllen, Texas, a regional hub serving the Rio Grande Valley.
  • D. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • E. KMOR
    KMOR is the ICAO airport code for Morristown Regional Airport in Morristown, Tennessee, United States.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0c833081908458e4eaee689df7 completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce094bf3081909f7c0097dcb63398 completed May 7, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69fce14ff8e48190b3b663d130d18418 completed May 7, 2026, 7 p.m.
Created at: April 9, 2026, 10:22 p.m.