Triple

T15293879
Position Surface form Disambiguated ID Type / Status
Subject Going Hollywood E365601 entity
Predicate starring P1507 FINISHED
Object Luis Alberni E805345 NE FINISHED

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: Luis Alberni | Statement: [Going Hollywood, starring, Luis Alberni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis Alberni
Context triple: [Going Hollywood, starring, Luis Alberni]
  • A. Luis Alberni chosen
    Luis Alberni was a Spanish-American character actor known for his comic supporting roles in Hollywood films of the 1930s and 1940s.
  • B. Manuel José Ossandón
    Manuel José Ossandón is a Chilean politician and senator known for his conservative views and prominent role within the center-right political sphere.
  • C. Francisco Undurraga
    Francisco Undurraga is a Chilean politician known for his leadership role in the centrist-liberal political party Evópoli and his service as a national legislator.
  • D. Cornelio Saavedra
    Cornelio Saavedra was an Argentine military and political leader who served as the president of the Primera Junta, playing a key role in the early stages of Argentina’s independence movement.
  • E. Samuel Auchmuty
    Samuel Auchmuty was a British Army officer best known for leading British forces during the early 19th-century campaigns in South America, including the 1807 operations around Montevideo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03682ea488190ac82fdbd0e855d34 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef7f2fc08190937226dad5fdc9c6 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.