Triple

T11263913
Position Surface form Disambiguated ID Type / Status
Subject Roberta E266632 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: [Roberta, starring, Luis Alberni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis Alberni
Context triple: [Roberta, 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. 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.
  • D. Ambrosio O'Higgins
    Ambrosio O'Higgins was an Irish-born Spanish colonial administrator who became Viceroy of Peru and played a key role in governing Spanish South America in the late 18th century.
  • E. José de La Mar
    José de La Mar was a Peruvian military leader and president in the early 19th century, noted for his role in the country’s wars of independence and subsequent conflicts.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94d56048190bf808e1bc2188714 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccc7fdc48190a84b8b584f67b464 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.