Triple

T17340221
Position Surface form Disambiguated ID Type / Status
Subject Day for Night E421046 entity
Predicate stars P1956 FINISHED
Object Alexandra Stewart 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: Alexandra Stewart | Statement: [Day for Night, stars, Alexandra Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandra Stewart
Context triple: [Day for Night, stars, Alexandra Stewart]
  • A. Alexandra Stewart chosen
    Alexandra Stewart is a Canadian-born actress known for her work in European and American cinema, including prominent roles in French New Wave and art-house films.
  • B. Alexandra Smith
    Alexandra Smith is a television producer best known for her executive production work on the true-crime series "Dirty John."
  • C. Grace Stewart
    Grace Stewart is the devout, overprotective mother and central figure in the 2001 supernatural horror film "The Others," whose strict rules and eerie household conceal a disturbing truth.
  • D. Katharine Alexander
    Katharine Alexander was an American stage and film actress active in the early to mid-20th century, known for her character roles in Hollywood dramas.
  • E. Sarah Kirkpatrick
    Sarah Kirkpatrick was the wife of prominent 18th-century American Presbyterian minister and educator Samuel Davies.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a14ec90819098db2ac0d58a53e1 completed April 19, 2026, 2:12 a.m.
Created at: April 10, 2026, 5:44 a.m.