Triple

T19410748
Position Surface form Disambiguated ID Type / Status
Subject Miss Granny E485578 entity
Predicate hasRemake P21944 FINISHED
Object Miss Granny (Philippine film) 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: Miss Granny (Philippine film) | Statement: [Miss Granny, hasRemake, Miss Granny (Philippine film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Granny (Philippine film)
Context triple: [Miss Granny, hasRemake, Miss Granny (Philippine film)]
  • A. Marimar
    Marimar is a popular 1990s Mexican telenovela starring Thalía as a poor young woman whose life transforms dramatically after love, betrayal, and revenge.
  • B. Dupaningan Agta
    Dupaningan Agta is an Austronesian language spoken by the Agta (Negrito) communities in northeastern Luzon in the Philippines.
  • C. Marilao
    Marilao is a rapidly urbanizing municipality in the province of Bulacan in the Philippines, known for its commercial centers and proximity to Metro Manila.
  • D. Kinoguitan
    Kinoguitan is a small coastal municipality in Misamis Oriental, Philippines, known for its fishing communities and access to Macajalar Bay.
  • E. Miss Granny chosen
    Miss Granny is a popular South Korean comedy-drama film about an elderly woman who mysteriously regains her youthful appearance, leading to humorous and heartfelt consequences.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af4cc0c81909056b5e2ee574ab1 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.