Triple

T18666804
Position Surface form Disambiguated ID Type / Status
Subject Rifle Love E456350 entity
Predicate hasTitle P38 FINISHED
Object Rifle Love 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: Rifle Love | Statement: [Rifle Love, hasTitle, Rifle Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rifle Love
Context triple: [Rifle Love, hasTitle, Rifle Love]
  • A. Rifle Love chosen
    "Rifle Love" is a song by Ray Ray, likely reflecting his signature style that blends melodic hooks with emotionally charged lyrics.
  • B. Love Is a Gun
    Love Is a Gun is an independent 1990s drama film featuring actress Eliza Roberts in a prominent role.
  • C. Loves Her Gun
    Loves Her Gun is an independent drama film exploring themes of violence, fear, and self-protection through the story of a woman who becomes immersed in gun culture after a traumatic experience.
  • D. Soldier of Love
    "Soldier of Love" is a 1989 pop single by Donny Osmond that marked his successful comeback to the music charts after a long career lull.
  • E. Soldier of Love
    "Soldier of Love" is a 2010 studio album by the English band Sade, marking their return after a decade-long hiatus with a blend of smooth soul, jazz, and contemporary R&B.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556ad88b481908bd008d469e878fd completed April 19, 2026, 10:26 p.m.
Created at: April 10, 2026, 11:48 a.m.