Triple

T8763194
Position Surface form Disambiguated ID Type / Status
Subject Prince Christopher E208254 entity
Predicate portrayedBy P1507 FINISHED
Object Paolo Montalban E208253 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: Paolo Montalban | Statement: [Prince Christopher, portrayedBy, Paolo Montalban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paolo Montalban
Context triple: [Prince Christopher, portrayedBy, Paolo Montalban]
  • A. Paolo Montalban chosen
    Paolo Montalban is a Filipino-American actor and singer best known for playing Prince Christopher in the 1997 Rodgers & Hammerstein television adaptation of "Cinderella."
  • B. Alex Gonzaga
    Alex Gonzaga is a Filipino actress, television host, comedian, and social media personality known for her comedic vlogs and roles in various Philippine TV shows and films.
  • C. Hendel Butoy
    Hendel Butoy is an animation director best known for his work with Walt Disney Feature Animation, including co-directing the film "The Rescuers Down Under."
  • D. Cesar Montano
    Cesar Montano is a Filipino actor and filmmaker known for his prominent roles in Philippine cinema and appearances in international war films.
  • E. Jose Pablo Cantillo
    Jose Pablo Cantillo is an American actor best known for his supporting roles in action films and television series such as "Crank" and "The Walking Dead."
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dfc85e481909a7ce80c5022e6e9 completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5197263881908038b5e2105e9170 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:40 p.m.