Triple

T19184030
Position Surface form Disambiguated ID Type / Status
Subject Torchwood: Miracle Day E469651 entity
Predicate starring P1507 FINISHED
Object Alexa Havins 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: Alexa Havins | Statement: [Torchwood: Miracle Day, starring, Alexa Havins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexa Havins
Context triple: [Torchwood: Miracle Day, starring, Alexa Havins]
  • A. Alexa Havins chosen
    Alexa Havins is an American actress best known for her work in television, including a starring role in the science fiction series "Torchwood."
  • B. Alexa Woods
    Alexa Woods is a skilled and resourceful guide who becomes the human protagonist caught between the warring alien species in the sci-fi horror film "Alien vs. Predator."
  • C. Alexandra Wise
    Alexandra Wise is known as the spouse of British video game composer David Wise.
  • D. Alexia Ashford
    Alexia Ashford is a central villain in the Resident Evil series, known as a genetically engineered aristocrat who mutates into a powerful bio-organic weapon.
  • E. Ava Alexander
    Ava Alexander is the central protagonist of the film "Up All Night," around whom the story’s main events and character dynamics revolve.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61f1d9c8190b67555383d821958 completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.