Triple

T22127516
Position Surface form Disambiguated ID Type / Status
Subject Kris Allen E546827 entity
Predicate notableWork P4 FINISHED
Object Alright with Me 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: Alright with Me | Statement: [Kris Allen, notableWork, Alright with Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alright with Me
Context triple: [Kris Allen, notableWork, Alright with Me]
  • A. Alright with Me chosen
    "Alright with Me" is a pop-rock song by American Idol winner Kris Allen, known for its upbeat melody and feel-good, acoustic-driven style.
  • B. Here with Me
    "Here with Me" is a popular downtempo pop song by British singer-songwriter Dido, best known as the opening theme for the TV series "Roswell" and for helping launch her international career.
  • C. Here with Me
    "Here with Me" is a song by American rock band The Killers from their 2012 album *Battle Born*.
  • D. At or With Me
    "At or With Me" is a song by singer-songwriter Jack Johnson from his 2010 album "To the Sea."
  • E. Here With Me
    "Here With Me" is a contemporary Christian worship song by MercyMe that reflects themes of God's presence and comfort.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12982eaa08190933d3036c020f562 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:32 p.m.