Triple

T38290055
Position Surface form Disambiguated ID Type / Status
Subject Margot E1022331 entity
Predicate usesAgainst P13821 FINISHED
Object Slowik’s nostalgia for simple food LITERAL 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: Slowik’s nostalgia for simple food | Statement: [Margot, usesAgainst, Slowik’s nostalgia for simple food]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesAgainst
Context triple: [Margot, usesAgainst, Slowik’s nostalgia for simple food]
  • A. usedAgainst chosen
    Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
  • B. armedAgainst
    Indicates that one entity is equipped with weapons or defensive capabilities specifically in preparation for potential conflict with another entity.
  • C. opposesEffectOf
    Indicates that one entity counteracts, reduces, or nullifies the effect produced by another entity.
  • D. usedInArgumentAgainst
    Indicates that something (such as a statement, example, or piece of evidence) is employed as support within an argument opposing or criticizing a particular claim, position, or entity.
  • E. opposedBy
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • F. None of above.

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_69f76df190f081908d5aa02c8a9286d0 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fccbd826708190b5fab12c4236299a completed May 7, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69fcc58838e08190b8fa54aa5c165f2d completed May 7, 2026, 5:02 p.m.
Created at: May 3, 2026, 4:30 p.m.