Triple

T21229317
Position Surface form Disambiguated ID Type / Status
Subject Rings E523162 entity
Predicate isScoreForCharacter P124151 FINISHED
Object Samara Morgan NE NERFINISHED

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: Samara Morgan | Statement: [Rings, isScoreForCharacter, Samara Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samara Morgan
Context triple: [Rings, isScoreForCharacter, Samara Morgan]
  • A. Samara Morgan chosen
    Samara Morgan is the vengeful ghostly girl from the horror film "The Ring," known for her cursed videotape and terrifying emergence from television screens.
  • B. Taylor Morgan
    Taylor Morgan is a member of the hip-hop and trap production collective Internet Money, known for crafting and collaborating on contemporary rap and melodic trap music.
  • C. Samantha Caine
    Samantha Caine is the amnesiac suburban schoolteacher who gradually uncovers her past as a lethal government assassin in the action thriller "The Long Kiss Goodnight."
  • D. Tanee McCall
    Tanee McCall is an American actress and professional dancer known for her roles in film and television, including action and dance-focused projects.
  • E. Samantha Logan
    Samantha Logan is an American actress best known for her leading role as Olivia Baker in the television drama series "All American."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734ae60408190a9480b27d109b8fc completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:44 p.m.