Triple

T15417452
Position Surface form Disambiguated ID Type / Status
Subject DJ Green Lantern E369278 entity
Predicate formerEmployer P1910 FINISHED
Object Hot 97 E517749 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: Hot 97 | Statement: [DJ Green Lantern, formerEmployer, Hot 97]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hot 97
Context triple: [DJ Green Lantern, formerEmployer, 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. Radio 5
    Radio 5 is a Spanish public radio station operated by RTVE that focuses on continuous news and current affairs coverage.
  • C. 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.
  • D. NRJ
    NRJ is a popular French commercial radio station and media brand focused on contemporary hit music and youth-oriented entertainment.
  • E. iHeartRadio
    iHeartRadio is a free broadcast and internet radio platform that offers live radio stations, music playlists, and podcasts across the United States and beyond.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ea8a8a081909749db1b29d85fcc completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a78f9cc819097a6ff1e0cbdbcf3 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.