Triple

T22422849
Position Surface form Disambiguated ID Type / Status
Subject Daytime Prayer E554292 entity
Predicate alsoKnownAs P39 FINISHED
Object Little Hour
Little Hour is a brief, fixed-time Christian prayer service observed at specific points during the day as part of the Liturgy of the Hours.
 E1536250 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: Little Hour | Statement: [Daytime Prayer, alsoKnownAs, Little Hour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Little Hour
Context triple: [Daytime Prayer, alsoKnownAs, Little Hour]
  • A. Little Me
    "Little Me" is a comedic stage musical, with a book by Neil Simon and music by Cy Coleman, in which Martin Short notably starred in a celebrated revival.
  • B. In the Wee Small Hours
    In the Wee Small Hours is a landmark 1955 concept album by Frank Sinatra, celebrated for its melancholic, late-night mood and sophisticated orchestral arrangements.
  • C. Little One
    Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
  • D. Little One
    Little One is a track featured on the album "Airtight's Revenge" by Bilal, known for its soulful, introspective style.
  • E. Little One
    "Little One" is a South African drama film directed by Darrell Roodt that follows a young girl's struggle for survival and healing after a brutal attack.
  • 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: Little Hour
Triple: [Daytime Prayer, alsoKnownAs, Little Hour]
Generated description
Little Hour is a brief, fixed-time Christian prayer service observed at specific points during the day as part of the Liturgy of the Hours.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Little Hour
Target entity description: Little Hour is a brief, fixed-time Christian prayer service observed at specific points during the day as part of the Liturgy of the Hours.
  • A. Little Me
    "Little Me" is a comedic stage musical, with a book by Neil Simon and music by Cy Coleman, in which Martin Short notably starred in a celebrated revival.
  • B. In the Wee Small Hours
    In the Wee Small Hours is a landmark 1955 concept album by Frank Sinatra, celebrated for its melancholic, late-night mood and sophisticated orchestral arrangements.
  • C. Little One
    Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
  • D. Little One
    Little One is a track featured on the album "Airtight's Revenge" by Bilal, known for its soulful, introspective style.
  • E. Little One
    "Little One" is a South African drama film directed by Darrell Roodt that follows a young girl's struggle for survival and healing after a brutal attack.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2a1a3c8190a649ee4df2429e69 completed April 29, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0f06cec8190a911ab9a867c0596 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0af2c6151881908f85a7c3c751cea9 completed May 18, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_6a0b08e411048190a368214c57c35d5e completed May 18, 2026, 12:41 p.m.
Created at: April 16, 2026, 8:47 p.m.