Triple

T17197741
Position Surface form Disambiguated ID Type / Status
Subject Lizzo E417395 entity
Predicate single P3283 FINISHED
Object Truth Hurts E1256557 NE 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: Truth Hurts | Statement: [Lizzo, single, Truth Hurts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Truth Hurts
Context triple: [Lizzo, single, Truth Hurts]
  • A. Truth Hurts chosen
    "Truth Hurts" is a breakout hit single by American singer-rapper Lizzo that blends pop and hip-hop with empowering, self-confident lyrics.
  • B. Truth Hurts
    Truth Hurts is an American R&B singer and songwriter best known for her early-2000s hit single "Addictive."
  • C. Bad Hurt
    Bad Hurt is an independent drama film about a working-class family struggling with mental illness, disability, and the lingering effects of military service in Staten Island.
  • D. It Hurts Me Too
    "It Hurts Me Too" is a blues standard, most famously recorded by Elmore James, that has become a widely covered and influential song in the genre.
  • E. Pretty Hurts
    "Pretty Hurts" is a pop-R&B song by Beyoncé that critiques society’s obsession with physical perfection and the pressures of beauty standards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dab718c8190b6f5b08189cf2eb2 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674bfabc8190bff7223e039089cc completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.