Triple

T20460942
Position Surface form Disambiguated ID Type / Status
Subject Alexandra Maria Lara E501920 entity
Predicate name P16 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: [Alexandra Maria Lara, name, Alexandra Maria Lara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandra Maria Lara
Context triple: [Alexandra Maria Lara, name, 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. Helen Christie
    Helen Christie was a British actress known for her work in mid-20th-century film, television, and theatre.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a642648190808709020f91122b completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.