Triple

T1677882
Position Surface form Disambiguated ID Type / Status
Subject Hozier E36273 entity
Predicate EP P15272 FINISHED
Object Take Me to Church E190375 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: Take Me to Church | Statement: [Hozier, EP, Take Me to Church]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Take Me to Church
Context triple: [Hozier, EP, Take Me to Church]
  • A. Take Me to Church chosen
    "Take Me to Church" is a soulful, blues-influenced indie rock song by Irish musician Hozier that critiques organized religion and became an international breakthrough hit.
  • B. Walk On
    "Walk On" is a U2 song known as an anthemic tribute to courage and perseverance, originally inspired by Burmese political leader Aung San Suu Kyi.
  • C. Ray of Light
    Ray of Light is a critically acclaimed 1998 Madonna album that blended electronic music with pop and earned multiple Grammy Awards.
  • D. A Moment Like This
    "A Moment Like This" is a pop ballad that became Kelly Clarkson's breakout hit and her debut single after winning the first season of American Idol.
  • E. Watch Over Me
    Watch Over Me is an American telenovela-style drama television series that aired on MyNetworkTV in the mid-2000s, centered on romance, intrigue, and personal security.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625f7e1081909c3c4fe76625783a completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0c87ff88190a6ebdf9566856e03 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:29 p.m.