Triple

T7028123
Position Surface form Disambiguated ID Type / Status
Subject Maren Morris E163199 entity
Predicate breakthroughWork P477 FINISHED
Object My Church E637587 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: My Church | Statement: [Maren Morris, breakthroughWork, My Church]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Church
Context triple: [Maren Morris, breakthroughWork, My Church]
  • A. My Church chosen
    "My Church" is a breakout country song by Maren Morris that blends soulful vocals with themes of redemption and freedom found through music.
  • B. Me of Little Faith
    "Me of Little Faith" is a comedic book by stand-up comedian Lewis Black that satirically explores religion, belief, and skepticism.
  • C. God and Me
    "God and Me" is a song from the album *Some Lessons Learned* that reflects on personal faith and an intimate relationship with God.
  • D. La Iglesia
    La Iglesia is a smaller, intricately decorated Maya temple structure within the Chichén Itzá archaeological site on Mexico’s Yucatán Peninsula.
  • E. The Country Church
    "The Country Church" is a reflective sketch by Washington Irving that nostalgically portrays English rural life and customs through the observations of his persona, Geoffrey Crayon.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fee32081908eff988b18daa6d0 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7885d83d4819099cc334dd2841f3b completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:35 p.m.