Triple

T13828982
Position Surface form Disambiguated ID Type / Status
Subject I Pray for You E332332 entity
Predicate hasTitle P38 FINISHED
Object I Pray for You E332332 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: I Pray for You | Statement: [I Pray for You, hasTitle, I Pray for You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Pray for You
Context triple: [I Pray for You, hasTitle, I Pray for You]
  • A. I Pray for You chosen
    "I Pray for You" is a track by rapper Pusha T featured on his critically acclaimed album "It's Almost Dry."
  • B. Pray for Me
    "Pray for Me" is a track by Snoop Dogg featured on his album "Doggumentary."
  • C. Pray for Me
    "Pray for Me" is an R&B/soul song by American singer Anthony Hamilton, known for its heartfelt lyrics and gospel-infused sound.
  • D. Pray for Me
    "Pray for Me" is a song by English singer-songwriter Laura Marling from her critically acclaimed 2013 album "Once I Was an Eagle."
  • E. Pray for Me
    "Pray for Me" is a hip-hop collaboration by The Weeknd and Kendrick Lamar, best known for its cinematic, high-energy role on the Black Panther film soundtrack.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02970df88190a1bf35dffd131d9d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ea22c081909cc34f1030a8589b completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.