Triple

T20312670
Position Surface form Disambiguated ID Type / Status
Subject Mittens E510293 entity
Predicate relative P37 FINISHED
Object Moppet 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: Moppet | Statement: [Mittens, relative, Moppet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moppet
Context triple: [Mittens, relative, Moppet]
  • A. Moppet chosen
    Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
  • B. The Mop
    The Mop is a viral hip-hop track by rapper TisaKorean, known for its playful energy and dance-focused, internet-driven popularity.
  • C. Mutts
    Mutts is a long-running, gently humorous comic strip by Patrick McDonnell that follows the daily lives and friendship of a dog named Earl and a cat named Mooch.
  • D. Mossie
    Mossie is the popular nickname for the British de Havilland Mosquito NF Mk II night fighter aircraft used during World War II.
  • E. Mooch
    Mooch is the tech-savvy housefly member of the elite guinea pig spy team in the Disney film "G-Force."
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677450ee0819081f02b5e95f40176 completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:19 a.m.