Triple

T20436362
Position Surface form Disambiguated ID Type / Status
Subject Treat Myself E501259 entity
Predicate hasPart P35 FINISHED
Object Ashes 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: Ashes | Statement: [Treat Myself, hasPart, Ashes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashes
Context triple: [Treat Myself, hasPart, Ashes]
  • A. Ashes
    Ashes is an 1894 painting by Norwegian artist Edvard Munch that depicts a tense, emotionally charged scene between a man and a woman in a forest, reflecting themes of despair and fractured relationships.
  • B. Ashes
    "Ashes" is a film directed by Mat Whitecross, known for its gritty, character-driven storytelling.
  • C. Ashes chosen
    "Ashes" is the debut studio album by American electronic music producer Illenium, known for its melodic bass sound and emotionally driven tracks.
  • D. The Ashes
    The Ashes is a historic Test cricket series played between England and Australia and is one of the sport’s most famous and fiercely contested rivalries.
  • E. Ashes in the Fall
    "Ashes in the Fall" is a politically charged rap metal song by Rage Against the Machine from their influential album "The Battle of Los Angeles."
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685ef5fc8819089e3f97a63a52f86 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.