Triple

T17016684
Position Surface form Disambiguated ID Type / Status
Subject Estrada E412838 entity
Predicate associatedWith P37 FINISHED
Object Philippine cinema E733625 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: Philippine cinema | Statement: [Estrada, associatedWith, Philippine cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippine cinema
Context triple: [Estrada, associatedWith, Philippine cinema]
  • A. Philippine cinema chosen
    Philippine cinema is the national film industry of the Philippines, known for its diverse genres, socially conscious storytelling, and influential filmmakers and actors across Asia.
  • B. Malaysian cinema
    Malaysian cinema is the national film industry of Malaysia, encompassing movies produced in the country across its various languages and cultural communities.
  • C. Philippine television
    Philippine television is the broadcast and cable TV industry in the Philippines, featuring a mix of news, drama, variety shows, and entertainment primarily produced in local languages such as Tagalog.
  • D. Moro Films
    Moro Films is a Spanish film production company known for backing contemporary Spanish-language cinema, including the drama "Felices 140."
  • E. Pakistani cinema
    Pakistani cinema is the film industry of Pakistan, encompassing movies produced in various regional languages and known for its evolving storytelling, music, and cultural influence across South Asia.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47fec248190bf261cac920291b1 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4ba2a88190a49d355836ff1dcf completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:33 a.m.