Triple

T19091472
Position Surface form Disambiguated ID Type / Status
Subject Columbus Short E467295 entity
Predicate spouse P13 FINISHED
Object Tanee McCall 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: Tanee McCall | Statement: [Columbus Short, spouse, Tanee McCall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanee McCall
Context triple: [Columbus Short, spouse, Tanee McCall]
  • A. Tanee McCall chosen
    Tanee McCall is an American actress and professional dancer known for her roles in film and television, including action and dance-focused projects.
  • B. Samara Morgan
    Samara Morgan is the vengeful ghostly girl from the horror film "The Ring," known for her cursed videotape and terrifying emergence from television screens.
  • C. Caitlin Fairchild
    Caitlin Fairchild is a super-intelligent, super-strong heroine from WildStorm/DC Comics, best known as a central member of the Gen¹³ team.
  • D. Lacey Fleming
    Lacey Fleming is the teenage daughter of medical examiner Megan Hunt on the television series "Body of Proof."
  • E. Oaklee Pendergast
    Oaklee Pendergast is a British child actor best known for his role in the disaster drama film "The Impossible."
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34b6b348190bb868356ed8b655a completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.