Triple

T13322480
Position Surface form Disambiguated ID Type / Status
Subject Life in 1472 E317346 entity
Predicate featuresArtist P1952 FINISHED
Object Warren G E89164 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: Warren G | Statement: [Life in 1472, featuresArtist, Warren G]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren G
Context triple: [Life in 1472, featuresArtist, Warren G]
  • A. Warren G chosen
    Warren G is an American West Coast rapper and producer best known for pioneering the G-funk sound and his hit single "Regulate."
  • B. Dré
    Dré is the professional alias of Doctor Dré, an American DJ, radio personality, and former Yo! MTV Raps co-host known for his influence on hip-hop media.
  • C. Danny Brown
    Danny Brown is an American rapper known for his eccentric style, high-pitched delivery, and critically acclaimed albums like "XXX" and "Atrocity Exhibition."
  • D. Busta Rhymes
    Busta Rhymes is an American rapper known for his rapid-fire delivery, energetic style, and influential role in 1990s and 2000s hip-hop.
  • E. Juicy J
    Juicy J is an American rapper, producer, and founding member of the hip hop group Three 6 Mafia, known for his influential role in Southern rap and numerous high-profile collaborations.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992ab83c8190982d9f54dff6919f completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f78acfd0e88190954533a7f282d83a completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:30 p.m.