Triple

T17064355
Position Surface form Disambiguated ID Type / Status
Subject Markang Rehas E414043 entity
Predicate portrayedBy P1507 FINISHED
Object Joseph Estrada 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: Joseph Estrada | Statement: [Markang Rehas, portrayedBy, Joseph Estrada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Estrada
Context triple: [Markang Rehas, portrayedBy, Joseph Estrada]
  • A. Joseph Estrada chosen
    Joseph Estrada is a Filipino actor-turned-politician who served as the 13th president of the Philippines before being ousted in a popular uprising over corruption allegations.
  • B. Mariano Arista
    Mariano Arista was a 19th-century Mexican general and politician who served as President of Mexico and played a prominent role in the early battles of the Mexican–American War.
  • C. Manuel Arjona
    Manuel Arjona is a notable individual recognized as a prominent bearer of the Arjona surname.
  • D. José Castro
    José Castro was a 19th-century Californio military leader and politician who played a prominent role in Mexican-era California before U.S. annexation.
  • E. José Castro
    José Castro is a Spanish judge known for overseeing the high-profile Nóos corruption case involving members of the Spanish royal family.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7f6a6081909bebce3ce925e663 completed April 18, 2026, 7:29 p.m.
Created at: April 10, 2026, 5:34 a.m.