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.