Triple

T16512615
Position Surface form Disambiguated ID Type / Status
Subject Lucas Montt E401097 entity
Predicate hasFather P1908 FINISHED
Object Manuel Montt E92046 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: Manuel Montt | Statement: [Lucas Montt, hasFather, Manuel Montt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manuel Montt
Context triple: [Lucas Montt, hasFather, Manuel Montt]
  • A. Manuel Montt chosen
    Manuel Montt was a 19th-century Chilean lawyer and statesman who served as President of Chile from 1851 to 1861.
  • B. Jorge Montt Álvarez
    Jorge Montt Álvarez was a Chilean admiral and politician who served as President of Chile from 1891 to 1896.
  • C. José Manuel Balmaceda
    José Manuel Balmaceda was a 19th-century Chilean politician who served as President of Chile from 1886 to 1891 and played a central role in the country's political crisis and civil war of 1891.
  • D. Manuel Baquedano
    Manuel Baquedano was a Chilean military officer and political figure best known for commanding Chilean forces during the War of the Pacific in the late 19th century.
  • E. José Pedro Balmaceda Pascal
    José Pedro Balmaceda Pascal, known professionally as Pedro Pascal, is a Chilean-American actor acclaimed for his roles in series such as Game of Thrones, Narcos, and The Mandalorian, as well as films like The Last of Us adaptation.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e77d9b081909235cb5ba77d1e29 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0091872e648190b805aa4e41bcbb6d completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:14 a.m.