Triple

T20622908
Position Surface form Disambiguated ID Type / Status
Subject Static Age E506745 entity
Predicate hasTrack P3284 FINISHED
Object Some Kinda Hate 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: Some Kinda Hate | Statement: [Static Age, hasTrack, Some Kinda Hate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Some Kinda Hate
Context triple: [Static Age, hasTrack, Some Kinda Hate]
  • A. Some Kind of Hate chosen
    Some Kind of Hate is a 2015 supernatural slasher film that blends bullying revenge themes with brutal, paranormal horror.
  • B. Hater Love
    "Hater Love" is a song by the American R&B singer Float.
  • C. Rather Hate Than Hurt
    "Rather Hate Than Hurt" is a song by the American rock band Hinder from their album "When the Smoke Clears."
  • D. What We Hate
    "What We Hate" is a track from the 1980 album "My Brain Hurts" by the Chicago punk rock band Screeching Weasel.
  • E. A Part Hate
    "A Part Hate" is a song by American singer-songwriter Cyndi Lauper from her 1993 album "Hat Full of Stars," reflecting her shift toward more mature, socially conscious themes.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe3177c8190ad1b2ca8b1e0a560 completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.