Triple

T20719081
Position Surface form Disambiguated ID Type / Status
Subject Ben Shenkman E509260 entity
Predicate notableWork P4 FINISHED
Object Must Love Dogs 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 | Statement: [Ben Shenkman, notableWork, Must Love Dogs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Must Love Dogs
Context triple: [Ben Shenkman, notableWork, Must Love Dogs]
  • 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. Dog Love
    "Dog Love" is a track from the album *Year of the Dog... Again* by British rapper and producer DMX.
  • D. The Dog in Me
    The Dog in Me is a song featured on the album "Beware of Dog" by rapper Lil' Bow Wow.
  • E. Man About Dog
    Man About Dog is a 2004 Irish comedy film centered on three small-time Belfast gamblers who get entangled in greyhound racing schemes.
  • 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d39bec8190b3642b0d6d833375 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:26 p.m.