Triple

T11737051
Position Surface form Disambiguated ID Type / Status
Subject Ari Wegner E279055 entity
Predicate collaboratedWith P435 FINISHED
Object Janicza Bravo E715174 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: Janicza Bravo | Statement: [Ari Wegner, collaboratedWith, Janicza Bravo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janicza Bravo
Context triple: [Ari Wegner, collaboratedWith, Janicza Bravo]
  • A. Janicza Bravo chosen
    Janicza Bravo is an American filmmaker, writer, and director known for her distinctive, darkly comedic storytelling in films such as "Zola."
  • B. Michaela Watkins
    Michaela Watkins is an American actress and comedian known for her work on "Saturday Night Live" and in numerous television comedies and films.
  • C. Melissa Hudson
    Melissa Hudson is known as the daughter of Stanley Hudson, a character from the American television series "The Office."
  • D. Larry June
    Larry June is a San Francisco-based rapper known for his laid-back delivery, motivational themes, and frequent references to healthy living and entrepreneurship.
  • E. Lily Rabe
    Lily Rabe is an American actress known for her versatile performances in film, television, and theater, particularly for her recurring roles in the anthology series "American Horror Story."
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4edced48190b7a59dd45921828e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019b318188190bfb7effcf42974d2 completed April 28, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:41 p.m.