Triple

T18703940
Position Surface form Disambiguated ID Type / Status
Subject Geostorm E457322 entity
Predicate castMember P1668 FINISHED
Object Alexandra Maria Lara 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 Maria Lara | Statement: [Geostorm, castMember, Alexandra Maria Lara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandra Maria Lara
Context triple: [Geostorm, castMember, Alexandra Maria Lara]
  • A. Alexandra Maria Lara chosen
    Alexandra Maria Lara is a Romanian-German actress known for her roles in acclaimed films such as "Downfall," "Control," and "Rush."
  • B. Debra Paget
    Debra Paget is an American actress best known for her roles in 1950s Hollywood epics and adventure films, including prominent performances in movies like "The Ten Commandments" and "Love Me Tender."
  • C. Margaret Lockwood
    Margaret Lockwood was a popular British film and stage actress best known for her leading roles in 1930s and 1940s classics, particularly in thrillers and melodramas.
  • D. Celia Johnson
    Celia Johnson was a distinguished English actress best known for her nuanced, understated performances in classic British films such as "Brief Encounter."
  • E. Natasha Wightman
    Natasha Wightman is a British actress best known for her role in the dystopian political thriller film "V for Vendetta."
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671597ac819093dbb53553130f1e completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:49 a.m.