Triple

T10202112
Position Surface form Disambiguated ID Type / Status
Subject The Sea Beast E238906 entity
Predicate voiceActor P1507 FINISHED
Object Marianne Jean-Baptiste E595812 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: Marianne Jean-Baptiste | Statement: [The Sea Beast, voiceActor, Marianne Jean-Baptiste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marianne Jean-Baptiste
Context triple: [The Sea Beast, voiceActor, Marianne Jean-Baptiste]
  • A. Marianne Jean-Baptiste chosen
    Marianne Jean-Baptiste is a British actress acclaimed for her powerful film, television, and stage performances, and for becoming one of the first Black British actresses to receive an Academy Award nomination.
  • B. Margot Tennant
    Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
  • C. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • D. Miranda Raison
    Miranda Raison is an English actress known for her work in television, film, and theatre, including roles in "Spooks," "Doctor Who," and various stage productions.
  • E. Miranda Richardson
    Miranda Richardson is an acclaimed English actress known for her versatile performances in film, television, and theatre, including notable roles in "The Crying Game," "Damage," and the "Harry Potter" series.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee4239c08190b40f5cc19c3db3c7 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317fcdf18819092d0f3f216edffdc completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:14 p.m.