Triple

T22894809
Position Surface form Disambiguated ID Type / Status
Subject The Trial (1962 film) E568143 entity
Predicate starring P1507 FINISHED
Object Elsa Martinelli 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: Elsa Martinelli | Statement: [The Trial (1962 film), starring, Elsa Martinelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elsa Martinelli
Context triple: [The Trial (1962 film), starring, Elsa Martinelli]
  • A. Elsa Martinelli chosen
    Elsa Martinelli was an Italian actress and fashion model known for her international film career in the 1950s and 1960s.
  • B. Ilsa Pucci
    Ilsa Pucci is a wealthy, sophisticated widow who becomes a key benefactor and ally to Christopher Chance and his team in the action-drama TV series "Human Target."
  • C. Elsa Mars
    Elsa Mars is a fictional German expatriate and ambitious but troubled leader of a 1950s Florida freak show, portrayed by Jessica Lange in the television series American Horror Story: Freak Show.
  • D. Elsa Walsh
    Elsa Walsh is an American journalist and author known for her work at The Washington Post and The New Yorker, as well as her book "Divided Lives."
  • E. Elsa Pataky
    Elsa Pataky is a Spanish actress and model best known for her roles in the Fast & Furious film franchise and various international action and thriller movies.
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc83d688190a8ab5ea0aad1e7ec completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.