Triple

T21018890
Position Surface form Disambiguated ID Type / Status
Subject Red Alert E517750 entity
Predicate associatedWith P37 FINISHED
Object Hot 97 NE NERFINISHED

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: Hot 97 | Statement: [Red Alert, associatedWith, Hot 97]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hot 97
Context triple: [Red Alert, associatedWith, Hot 97]
  • A. Hot 97 chosen
    Hot 97 is a New York City-based radio station renowned as a pioneering and influential hub for hip hop and R&B music and culture.
  • B. Big 98.1
    Big 98.1 is a Philadelphia-area FM radio station brand known for playing classic hits and oldies.
  • C. Radio 5
    Radio 5 is a Spanish public radio station operated by RTVE that focuses on continuous news and current affairs coverage.
  • D. MTV’s Total Request Live
    MTV’s Total Request Live was a hugely popular live music video countdown and pop-culture show on MTV that became a defining part of late-1990s and early-2000s teen culture.
  • E. NRJ
    NRJ is a popular French commercial radio station and media brand focused on contemporary hit music and youth-oriented entertainment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5b6af4819081fd3aa5212f17a5 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.