Triple

T22541202
Position Surface form Disambiguated ID Type / Status
Subject Must Love Dogs E557292 entity
Predicate basedOn P98 FINISHED
Object Must Love Dogs (novel) 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: Must Love Dogs (novel) | Statement: [Must Love Dogs, basedOn, Must Love Dogs (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Must Love Dogs (novel)
Context triple: [Must Love Dogs, basedOn, Must Love Dogs (novel)]
  • A. Must Love Dogs chosen
    Must Love Dogs is a 2005 romantic comedy film about a recently divorced woman navigating the modern dating scene with the help of online personals and her large, meddling family.
  • B. For the Love of Dogs
    For the Love of Dogs is a British television documentary series following the work of staff and volunteers at Battersea Dogs & Cats Home, presented by comedian and animal lover Paul O’Grady.
  • C. The Dog in Me
    The Dog in Me is a song featured on the album "Beware of Dog" by rapper Lil' Bow Wow.
  • D. The Dog Who Saved Summer
    The Dog Who Saved Summer is a family comedy film in the "Dog Who Saved" series, following a lovable dog whose antics help avert disaster during a summer vacation.
  • E. The Dog Who Wouldn't Be
    The Dog Who Wouldn't Be is a humorous autobiographical book by Farley Mowat recounting his childhood adventures with his eccentric and unforgettable pet dog.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f3251808190a72b849157854d8d completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.