Triple

T16086322
Position Surface form Disambiguated ID Type / Status
Subject Flesh and Stone E390237 entity
Predicate portraysCompanionBy P44204 FINISHED
Object Karen Gillan E256907 NE FINISHED

How this triple was built (3 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: Karen Gillan | Statement: [Flesh and Stone, portraysCompanionBy, Karen Gillan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Gillan
Context triple: [Flesh and Stone, portraysCompanionBy, Karen Gillan]
  • A. Karen Gillan chosen
    Karen Gillan is a Scottish actress and filmmaker best known for her roles as Nebula in the Marvel Cinematic Universe and Amy Pond in the television series Doctor Who.
  • B. Kate Fisher
    Kate Fisher is the mother of American singer and actor Eddie Fisher.
  • C. Felicity Jones
    Felicity Jones is an English actress known for her roles in films such as "The Theory of Everything" and "Rogue One: A Star Wars Story."
  • D. Tamsin Egerton
    Tamsin Egerton is an English actress and model known for roles in films such as "St Trinian's," "Keeping Mum," and "The Look of Love."
  • E. Laura Bailey
    Laura Bailey is an acclaimed American voice actress known for her prominent roles in video games and animation, including award-winning performances in major titles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portraysCompanionBy
Context triple: [Flesh and Stone, portraysCompanionBy, Karen Gillan]
  • A. companionOf
    Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
  • B. supportingCharacterPortrayedBy chosen
    Indicates that a supporting (non-leading) character in a work is portrayed or acted by a specific performer.
  • C. wasCompanionOf
    Indicates that one entity accompanied or associated closely with another, typically as a partner, ally, or fellow participant over some period of time.
  • D. supportingCharacter
    Indicates that one entity plays a secondary or assisting role in the story or context relative to another primary entity.
  • E. portrayedByCharacterType
    Indicates that an entity is depicted or represented by a character of a specified type (e.g., hero, villain, sidekick) in a narrative or media work.
  • F. None of above.

Provenance (4 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb934b448190a486401ac6c01065 completed May 10, 2026, 2:21 a.m.
PD Predicate disambiguation batch_69e1827ad7c88190b867da511cbfb7fa completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:59 a.m.