Triple

T13027910
Position Surface form Disambiguated ID Type / Status
Subject Disturbed E326354 entity
Predicate notableWork P4 FINISHED
Object Prayer
"Prayer" is a song by the American rock band Disturbed, known for its heavy riffs and introspective lyrics that reflect themes of struggle and resilience.
 E1016791 NE FINISHED

How this triple was built (4 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: Prayer | Statement: [Disturbed, notableWork, Prayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prayer
Context triple: [Disturbed, notableWork, Prayer]
  • A. Pray
    "Pray" is a hit pop ballad by British boy band Take That, released in 1993 and known for becoming one of their early chart-topping singles.
  • B. Praying
    "Praying" is a powerful piano ballad by Kesha that marks her emotional comeback, addressing themes of trauma, forgiveness, and resilience.
  • C. On Prayer
    On Prayer is a theological treatise by the early Christian scholar Origen that explores the nature, purpose, and practice of Christian prayer.
  • D. The Meaning of Prayer
    The Meaning of Prayer is a classic early 20th-century Christian devotional book that explores the nature, purpose, and practice of prayer in everyday life.
  • E. Vision and Prayer
    "Vision and Prayer" is a complex, serially structured vocal composition by Milton Babbitt, notable for its intricate rhythmic and pitch organization.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Prayer
Triple: [Disturbed, notableWork, Prayer]
Generated description
"Prayer" is a song by the American rock band Disturbed, known for its heavy riffs and introspective lyrics that reflect themes of struggle and resilience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prayer
Target entity description: "Prayer" is a song by the American rock band Disturbed, known for its heavy riffs and introspective lyrics that reflect themes of struggle and resilience.
  • A. Pray
    "Pray" is a hit pop ballad by British boy band Take That, released in 1993 and known for becoming one of their early chart-topping singles.
  • B. Praying
    "Praying" is a powerful piano ballad by Kesha that marks her emotional comeback, addressing themes of trauma, forgiveness, and resilience.
  • C. On Prayer
    On Prayer is a theological treatise by the early Christian scholar Origen that explores the nature, purpose, and practice of Christian prayer.
  • D. The Meaning of Prayer
    The Meaning of Prayer is a classic early 20th-century Christian devotional book that explores the nature, purpose, and practice of prayer in everyday life.
  • E. Vision and Prayer
    "Vision and Prayer" is a complex, serially structured vocal composition by Milton Babbitt, notable for its intricate rhythmic and pitch organization.
  • F. None of above. chosen

Provenance (5 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efc07488190a15f3e41ea2db45c completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c12191b08190abf4123995116ebc completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c562d10c8190b76dbf50a0101bae completed May 3, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_69f6c635fc888190891a79da9d7984a0 completed May 3, 2026, 3:51 a.m.
Created at: April 9, 2026, 8:53 p.m.