Triple
T9665565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter de la Mare |
E233695
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Peacock Pie
Peacock Pie is a celebrated collection of whimsical and imaginative children's poems by English writer Walter de la Mare.
|
E814203
|
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: Peacock Pie | Statement: [Walter de la Mare, notableWork, Peacock Pie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peacock Pie Context triple: [Walter de la Mare, notableWork, Peacock Pie]
-
A.
The Pie
The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
-
B.
The Roly-Poly Pudding
The Roly-Poly Pudding is a children's story by Beatrix Potter featuring Tom Kitten's misadventures with rats who try to cook him into a pudding.
-
C.
Cauliflower McPugg
Cauliflower McPugg is a bumbling, punch-drunk boxer character created and portrayed by American comedian Red Skelton in his radio and television comedy routines.
-
D.
The Crunch Bird
The Crunch Bird is a short, darkly comedic animated film known for its simple gag setup and surprise punchline involving a voracious pet bird.
-
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: Peacock Pie Triple: [Walter de la Mare, notableWork, Peacock Pie]
Generated description
Peacock Pie is a celebrated collection of whimsical and imaginative children's poems by English writer Walter de la Mare.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peacock Pie Target entity description: Peacock Pie is a celebrated collection of whimsical and imaginative children's poems by English writer Walter de la Mare.
-
A.
The Pie
The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
-
B.
The Roly-Poly Pudding
The Roly-Poly Pudding is a children's story by Beatrix Potter featuring Tom Kitten's misadventures with rats who try to cook him into a pudding.
-
C.
Cauliflower McPugg
Cauliflower McPugg is a bumbling, punch-drunk boxer character created and portrayed by American comedian Red Skelton in his radio and television comedy routines.
-
D.
The Crunch Bird
The Crunch Bird is a short, darkly comedic animated film known for its simple gag setup and surprise punchline involving a voracious pet bird.
-
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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c38f65c8190a0ed20830249a0f1 |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a1c8b188190bcff470244b21640 |
completed | April 4, 2026, 10:01 p.m. |
| NEDg | Description generation | batch_69d18b0929788190955f0da0eadb3210 |
completed | April 4, 2026, 10:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18ea5ffbc8190b336c98087838d7b |
completed | April 4, 2026, 10:20 p.m. |
Created at: March 30, 2026, 8:14 p.m.