Triple

T8067008
Position Surface form Disambiguated ID Type / Status
Subject Gonna Love Me E188267 entity
Predicate writer P1360 FINISHED
Object BoogzDaBeast E184996 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: BoogzDaBeast | Statement: [Gonna Love Me, writer, BoogzDaBeast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BoogzDaBeast
Context triple: [Gonna Love Me, writer, BoogzDaBeast]
  • A. BoogzDaBeast chosen
    BoogzDaBeast is a hip-hop and R&B music producer known for his work on high-profile projects including Teyana Taylor’s album "K.T.S.E."
  • B. Booba
    Booba is a prominent French rapper and entrepreneur known for his influential role in the French hip-hop scene and numerous hit albums and collaborations.
  • C. Mr Beast
    Mr Beast is a 2006 studio album by the Scottish post-rock band Mogwai, noted for its dynamic contrasts and atmospheric guitar-driven soundscapes.
  • D. Biggz
    Biggz is one of the teenage gang members in the British sci-fi film "Attack the Block," which follows a South London crew battling an alien invasion.
  • E. Beastie
    Beastie is the iconic cartoon daemon mascot associated with the FreeBSD operating system and the broader BSD Unix community.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff75d208190b7c53d2fe55878ac completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe67d9dc8190ad72e3f5ce7478e3 completed April 1, 2026, 6:42 a.m.
Created at: March 30, 2026, 5:26 p.m.