Triple

T6457208
Position Surface form Disambiguated ID Type / Status
Subject Carson Daly E142022 entity
Predicate employer P7 FINISHED
Object KAMP-FM
KAMP-FM is a Los Angeles-based radio station known for its contemporary hit music format and high-profile on-air personalities.
 E517751 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: KAMP-FM | Statement: [Carson Daly, employer, KAMP-FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KAMP-FM
Context triple: [Carson Daly, employer, KAMP-FM]
  • A. CKFM-FM
    CKFM-FM is a Toronto-based Canadian radio station, best known as the contemporary hit music outlet branded as 99.9 Virgin Radio.
  • B. KPWR 105.9 FM
    KPWR 105.9 FM is a Los Angeles-based commercial radio station known for its contemporary hip hop and R&B programming.
  • C. KALB
    KALB is the ICAO airport code for Albany International Airport, a major commercial airport serving New York’s Capital Region.
  • D. KENW-FM
    KENW-FM is a public radio station serving eastern New Mexico, operated by Eastern New Mexico University and known for its news, educational, and cultural programming.
  • E. Kiss FM
    Kiss FM is a popular radio station brand known for broadcasting contemporary hit music and dance tracks, often featuring prominent DJs and club culture 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: KAMP-FM
Triple: [Carson Daly, employer, KAMP-FM]
Generated description
KAMP-FM is a Los Angeles-based radio station known for its contemporary hit music format and high-profile on-air personalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KAMP-FM
Target entity description: KAMP-FM is a Los Angeles-based radio station known for its contemporary hit music format and high-profile on-air personalities.
  • A. CKFM-FM
    CKFM-FM is a Toronto-based Canadian radio station, best known as the contemporary hit music outlet branded as 99.9 Virgin Radio.
  • B. KPWR 105.9 FM
    KPWR 105.9 FM is a Los Angeles-based commercial radio station known for its contemporary hip hop and R&B programming.
  • C. KALB
    KALB is the ICAO airport code for Albany International Airport, a major commercial airport serving New York’s Capital Region.
  • D. KENW-FM
    KENW-FM is a public radio station serving eastern New Mexico, operated by Eastern New Mexico University and known for its news, educational, and cultural programming.
  • E. Kiss FM chosen
    Kiss FM is a popular radio station brand known for broadcasting contemporary hit music and dance tracks, often featuring prominent DJs and club culture programming.
  • F. None of above.

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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069d639ec8190bb0a806da4118440 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bdef4a881908f3d7b6eefab7def completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64fba85a08190ad270b010294f86a completed March 27, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c6508c2fb481909da94b4f67e95ecf completed March 27, 2026, 9:40 a.m.
Created at: March 22, 2026, 4:48 p.m.