Triple

T12775315
Position Surface form Disambiguated ID Type / Status
Subject Mucho Maas E305352 entity
Predicate employer P7 FINISHED
Object KCUF radio station
KCUF radio station is a broadcast radio station known for employing on-air personality Mucho Maas.
 E1002682 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: KCUF radio station | Statement: [Mucho Maas, employer, KCUF radio station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KCUF radio station
Context triple: [Mucho Maas, employer, KCUF radio station]
  • A. KRCU
    KRCU is a public radio station affiliated with Southeast Missouri State University that provides news, music, and cultural programming to the surrounding region.
  • B. KCBF
    KCBF is the ICAO airport code for Council Bluffs Municipal Airport in Council Bluffs, Iowa, United States.
  • C. KAKR
    KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
  • D. WKCF
    WKCF is a television station serving the Orlando, Florida market, operating as a CW affiliate and sharing common ownership with WESH.
  • E. KTSU
    KTSU is a public radio station based at Texas Southern University in Houston, Texas, known for its jazz, R&B, and community-focused 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: KCUF radio station
Triple: [Mucho Maas, employer, KCUF radio station]
Generated description
KCUF radio station is a broadcast radio station known for employing on-air personality Mucho Maas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KCUF radio station
Target entity description: KCUF radio station is a broadcast radio station known for employing on-air personality Mucho Maas.
  • A. KRCU
    KRCU is a public radio station affiliated with Southeast Missouri State University that provides news, music, and cultural programming to the surrounding region.
  • B. KCBF
    KCBF is the ICAO airport code for Council Bluffs Municipal Airport in Council Bluffs, Iowa, United States.
  • C. KAKR
    KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
  • D. WKCF
    WKCF is a television station serving the Orlando, Florida market, operating as a CW affiliate and sharing common ownership with WESH.
  • E. KTSU
    KTSU is a public radio station based at Texas Southern University in Houston, Texas, known for its jazz, R&B, and community-focused 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df6b3c88190b0bbe70de8ddcbf3 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684fee60c81909245d4d70c9338c0 completed May 2, 2026, 11:13 p.m.
NEDg Description generation batch_69f687ae18c08190a94dca38bb69d10f completed May 2, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69f68884ed348190a1b2c89b1d655fa9 completed May 2, 2026, 11:28 p.m.
Created at: April 9, 2026, 5:29 p.m.