Triple

T1817320
Position Surface form Disambiguated ID Type / Status
Subject Shut Up E40463 entity
Predicate writer P1360 FINISHED
Object Taboo E39848 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: Taboo | Statement: [Shut Up, writer, Taboo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taboo
Context triple: [Shut Up, writer, Taboo]
  • A. Taboo chosen
    Taboo is an American rapper, singer, and member of the hip hop group The Black Eyed Peas, known for his energetic performances and distinctive style.
  • B. Tabu
    Tabu is an acclaimed Indian actress known for her powerful performances in both mainstream and art-house cinema, including prominent roles in internationally recognized films.
  • C. Blow Out
    Blow Out is a 1981 neo-noir political thriller film directed by Brian De Palma, known for its suspenseful blend of conspiracy, sound design, and psychological tension.
  • D. Pariah
    Pariah is a 2011 independent coming-of-age drama film about a Brooklyn teenager embracing her identity as a lesbian, noted for its intimate storytelling and evocative cinematography.
  • E. Let the Right One In
    Let the Right One In is a critically acclaimed 2008 Swedish romantic horror film about the bond between a bullied boy and a mysterious child vampire.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f7b84081909005ce36ef1199db completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3a777a481909e8b350811ee29c0 completed March 9, 2026, 11:48 a.m.
Created at: March 4, 2026, 7:32 p.m.