Triple

T10367756
Position Surface form Disambiguated ID Type / Status
Subject Afterlife E244298 entity
Predicate character P662 FINISHED
Object Alison Mundy E909584 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: Alison Mundy | Statement: [Afterlife, character, Alison Mundy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alison Mundy
Context triple: [Afterlife, character, Alison Mundy]
  • A. Alison Mundy chosen
    Alison Mundy is the troubled, reluctant medium at the center of the British supernatural drama series "Afterlife," known for her intense encounters with the dead and emotional struggles with her gift.
  • B. Alison Wright
    Alison Wright is a British actress known for her acclaimed television roles, including standout performances in series such as "The Americans" and "Sneaky Pete."
  • C. Alison Brown
    Alison Brown is a film industry professional best known for her role in founding the American animation company Blue Sky Studios.
  • D. Alison Benson
    Alison Benson is a television producer and executive known for her work overseeing series such as the comedy show "Camping."
  • E. Laura Mennell
    Laura Mennell is a Canadian actress known for her roles in science fiction and fantasy film and television, including appearances in projects like Watchmen and the series Alphas.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4963545f481909ecc360480b1fc37 completed April 19, 2026, 8:45 a.m.
Created at: April 6, 2026, noon