Triple

T14130756
Position Surface form Disambiguated ID Type / Status
Subject Matt Charman E350157 entity
Predicate wrote P2831 FINISHED
Object A Night at the Dogs E1081996 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: A Night at the Dogs | Statement: [Matt Charman, wrote, A Night at the Dogs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Night at the Dogs
Context triple: [Matt Charman, wrote, A Night at the Dogs]
  • A. A Night at the Dogs chosen
    A Night at the Dogs is a stage play by British dramatist Matt Charman, known for its sharp, contemporary storytelling and character-driven drama.
  • 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. 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.
  • 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. Hotel for Dogs
    Hotel for Dogs is a 2009 family comedy film about siblings who secretly transform an abandoned hotel into a shelter for stray dogs.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610aa434819096671c5aabb9134a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e485fc8190aad0cce445aaec1a completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:47 p.m.