Triple

T17044369
Position Surface form Disambiguated ID Type / Status
Subject Roger McGough E413525 entity
Predicate notableWork P4 FINISHED
Object Sky in the Pie
Sky in the Pie is a humorous and imaginative children's poetry collection by British poet Roger McGough.
E1248258 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: Sky in the Pie | Statement: [Roger McGough, notableWork, Sky in the Pie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky in the Pie
Context triple: [Roger McGough, notableWork, Sky in the Pie]
  • A. Pie in the Sky
    Pie in the Sky is a British television drama-comedy series about a detective who balances police work with running his own restaurant.
  • B. The Pie
    The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
  • C. Jiggable Pie
    Jiggable Pie is a musical work by the artist AMG, known for its playful, sexually explicit lyrics and funky West Coast hip-hop style.
  • D. Hot Pie
    Hot Pie is a minor character in the "A Song of Ice and Fire" novels and the "Game of Thrones" TV series, known as a former orphan and traveling companion of Arya Stark who becomes a baker.
  • E. The Pie Hole
    The Pie Hole is a quirky, retro-style pie shop and central setting in the television series "Pushing Daisies," known for its inventive pies and eccentric staff.
  • 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: Sky in the Pie
Triple: [Roger McGough, notableWork, Sky in the Pie]
Generated description
Sky in the Pie is a humorous and imaginative children's poetry collection by British poet Roger McGough.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sky in the Pie
Target entity description: Sky in the Pie is a humorous and imaginative children's poetry collection by British poet Roger McGough.
  • A. Pie in the Sky
    Pie in the Sky is a British television drama-comedy series about a detective who balances police work with running his own restaurant.
  • B. The Pie
    The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
  • C. Jiggable Pie
    Jiggable Pie is a musical work by the artist AMG, known for its playful, sexually explicit lyrics and funky West Coast hip-hop style.
  • D. Hot Pie
    Hot Pie is a minor character in the "A Song of Ice and Fire" novels and the "Game of Thrones" TV series, known as a former orphan and traveling companion of Arya Stark who becomes a baker.
  • E. The Pie Hole
    The Pie Hole is a quirky, retro-style pie shop and central setting in the television series "Pushing Daisies," known for its inventive pies and eccentric staff.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9c112c81908232dc6908d831cf completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233cd3d48190b002951881ef670b completed May 11, 2026, 12:30 a.m.
NEDg Description generation batch_6a0124f158a08190a803b37378a2c253 completed May 11, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a012569322081908b60694851d50e4b completed May 11, 2026, 12:40 a.m.
Created at: April 10, 2026, 5:33 a.m.