Triple

T538062
Position Surface form Disambiguated ID Type / Status
Subject Joe Buck E12369 entity
Predicate employer P7 FINISHED
Object KMOX (early career)
KMOX (early career) refers to the St. Louis radio station where Joe Buck began his professional broadcasting career, gaining early recognition as a sportscaster.
 E67116 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: KMOX (early career) | Statement: [Joe Buck, employer, KMOX (early career)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMOX (early career)
Context triple: [Joe Buck, employer, KMOX (early career)]
  • A. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • B. KRLX
    KRLX is Carleton College’s student-run radio station, known for its eclectic programming and role in campus life.
  • C. KSVN
    KSVN is the ICAO airport code for Hunter Army Airfield, a U.S. Army military airfield located in Savannah, Georgia.
  • 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. KING-TV
    KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
  • 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: KMOX (early career)
Triple: [Joe Buck, employer, KMOX (early career)]
Generated description
KMOX (early career) refers to the St. Louis radio station where Joe Buck began his professional broadcasting career, gaining early recognition as a sportscaster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMOX (early career)
Target entity description: KMOX (early career) refers to the St. Louis radio station where Joe Buck began his professional broadcasting career, gaining early recognition as a sportscaster.
  • A. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • B. KRLX
    KRLX is Carleton College’s student-run radio station, known for its eclectic programming and role in campus life.
  • C. KSVN
    KSVN is the ICAO airport code for Hunter Army Airfield, a U.S. Army military airfield located in Savannah, Georgia.
  • 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. KING-TV
    KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a496dc0aac8190afb75ec6c47a1d2d completed March 1, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c03256a08190955f8e8d5cda4b08 completed March 1, 2026, 10:39 p.m.
NEDg Description generation batch_69a4c0d028c48190885a764277f9d28b completed March 1, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69a4c196fa948190b14aacba1276d353 completed March 1, 2026, 10:45 p.m.
Created at: March 1, 2026, 7:32 p.m.