Triple

T14416529
Position Surface form Disambiguated ID Type / Status
Subject Bear Blaze Winslet E357466 entity
Predicate sibling P363 FINISHED
Object Mia Honey Threapleton E357408 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: Mia Honey Threapleton | Statement: [Bear Blaze Winslet, sibling, Mia Honey Threapleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mia Honey Threapleton
Context triple: [Bear Blaze Winslet, sibling, Mia Honey Threapleton]
  • A. Mia Honey Threapleton chosen
    Mia Honey Threapleton is a British actress and the daughter of Academy Award–winning actress Kate Winslet.
  • B. Mia Morgan
    Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
  • C. Mia Brooks
    Mia Brooks is a main character in the teen drama series "Love, Victor," known as Victor's intelligent, artistic, and compassionate friend and love interest.
  • D. Maia Campbell
    Maia Campbell is an American actress best known for her role as Tiffany Warren on the 1990s sitcom "In the House."
  • E. Mimi Thompson
    Mimi Thompson is the wife of American pop artist James Rosenquist.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cec8e4819087c72d82f9caacda completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648784048190a9c7e95bfeec8b23 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:17 a.m.