Triple

T13171162
Position Surface form Disambiguated ID Type / Status
Subject Stephen Bishop E312977 entity
Predicate album P1995 FINISHED
Object Yardwork
"Yardwork" is an album by American singer-songwriter Stephen Bishop, featuring his characteristic melodic pop and soft rock songwriting.
 E1025578 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: Yardwork | Statement: [Stephen Bishop, album, Yardwork]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yardwork
Context triple: [Stephen Bishop, album, Yardwork]
  • A. Cuttin’ the Grass
    Cuttin’ the Grass is a bluegrass music recording by the Osborne Brothers, showcasing their signature high harmonies and progressive approach to the genre.
  • B. Weeds
    Weeds is a 1987 drama film starring Matthew Modine that explores the lives of prison inmates who stage a theatrical production as a path to redemption.
  • C. Weeds
    Weeds is a dark comedy-drama television series that follows a widowed suburban mother who turns to selling marijuana to support her family.
  • D. Harvest
    Harvest is a 1972 folk-rock album by Neil Young, widely regarded as one of his signature works and a classic of the singer-songwriter era.
  • E. Harvest
    "Harvest" is a medical thriller novel by Tess Gerritsen that follows a young surgical resident who uncovers a deadly black-market organ trafficking scheme.
  • 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: Yardwork
Triple: [Stephen Bishop, album, Yardwork]
Generated description
"Yardwork" is an album by American singer-songwriter Stephen Bishop, featuring his characteristic melodic pop and soft rock songwriting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yardwork
Target entity description: "Yardwork" is an album by American singer-songwriter Stephen Bishop, featuring his characteristic melodic pop and soft rock songwriting.
  • A. Cuttin’ the Grass
    Cuttin’ the Grass is a bluegrass music recording by the Osborne Brothers, showcasing their signature high harmonies and progressive approach to the genre.
  • B. Weeds
    Weeds is a 1987 drama film starring Matthew Modine that explores the lives of prison inmates who stage a theatrical production as a path to redemption.
  • C. Weeds
    Weeds is a dark comedy-drama television series that follows a widowed suburban mother who turns to selling marijuana to support her family.
  • D. Harvest
    Harvest is a 1972 folk-rock album by Neil Young, widely regarded as one of his signature works and a classic of the singer-songwriter era.
  • E. Harvest
    "Harvest" is a medical thriller novel by Tess Gerritsen that follows a young surgical resident who uncovers a deadly black-market organ trafficking scheme.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2f22b881908a0af3af0a0af971 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eafb81288190a6dcc3bd872998d8 completed May 3, 2026, 6:28 a.m.
NEDg Description generation batch_69f6f18100148190bdb501b21d37e6af completed May 3, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6f25118508190a35d88cfbdfd77ec completed May 3, 2026, 6:59 a.m.
Created at: April 9, 2026, 9:13 p.m.