Triple

T6279158
Position Surface form Disambiguated ID Type / Status
Subject Ryan Seacrest E140737 entity
Predicate employer P7 FINISHED
Object KIIS-FM E517751 NE FINISHED

How this triple was built (2 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: KIIS-FM | Statement: [Ryan Seacrest, employer, KIIS-FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KIIS-FM
Context triple: [Ryan Seacrest, employer, KIIS-FM]
  • A. 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.
  • B. KCSI
    KCSI is the post-nominal title for a Knight Commander of the Order of the Star of India, a former British order of chivalry associated with colonial India.
  • C. KMSN
    KMSN is the ICAO airport code for Dane County Regional Airport serving Madison, Wisconsin, in the United States.
  • D. 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.
  • E. KBFM
    KBFM is the ICAO airport code for Mobile Downtown Airport, a public airport serving the city of Mobile, Alabama, in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063dc55d48190b5ed48a50f3a742e completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519549cf0819096d01c23f6c915eb completed March 26, 2026, 11:32 a.m.
Created at: March 22, 2026, 4:26 p.m.