Triple

T13125459
Position Surface form Disambiguated ID Type / Status
Subject Emma Roberts E311832 entity
Predicate film P9968 FINISHED
Object Hotel for Dogs E1022363 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: Hotel for Dogs | Statement: [Emma Roberts, film, Hotel for Dogs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotel for Dogs
Context triple: [Emma Roberts, film, Hotel for Dogs]
  • A. Hotel for Dogs chosen
    Hotel for Dogs is a 2009 family comedy film about siblings who secretly transform an abandoned hotel into a shelter for stray dogs.
  • B. The Dog Pound
    The Dog Pound is the passionate student cheering section known for creating an energetic home-ice atmosphere at Boston University Terriers men's hockey games.
  • C. El cumpleaños del perro
    El cumpleaños del perro is a Mexican film best known for featuring acclaimed actress Ana Ofelia Murguía in a prominent role.
  • D. A Dog's Life
    A Dog's Life is a 1918 silent comedy film written, directed by, and starring Charlie Chaplin, following his Tramp character as he navigates hardship and companionship with a stray dog.
  • E. Heart of a Dog
    Heart of a Dog is a satirical science fiction novella by Mikhail Bulgakov that critiques Soviet society through the story of a stray dog transformed into a human.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819946808190b41335fb1054accd completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eade84f881909d5db24bc5c6e072 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:07 p.m.