Triple
T20191923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dream Land |
E492996
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object |
Nutty Noon
Nutty Noon is a floating, sky-themed world of platforms and structures featured as a stage in the Kirby video game series.
|
E1417145
|
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: Nutty Noon | Statement: [Dream Land, hasRegion, Nutty Noon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nutty Noon Context triple: [Dream Land, hasRegion, Nutty Noon]
-
A.
Nuts in May
Nuts in May is a 1976 British television comedy film directed by Mike Leigh, best known for its satirical portrayal of an eccentric couple’s disastrous camping holiday.
-
B.
No Time for Nuts
No Time for Nuts is a comedic animated short film from the Ice Age franchise featuring the squirrel Scrat in a time-traveling adventure.
-
C.
The Eat Up
The Eat Up is the debut EP by English actor and rapper Ed Skrein, showcasing his early work as a hip-hop artist.
-
D.
The Biscuit Eater
The Biscuit Eater is a 1940 American drama film about a boy and his misfit bird dog, directed by Stuart Heisler and later remade by Disney in 1972.
-
E.
The Song of Lunch
The Song of Lunch is a narrative poem by Christopher Reid that portrays a bittersweet reunion between former lovers over a boozy lunch in London.
- 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: Nutty Noon Triple: [Dream Land, hasRegion, Nutty Noon]
Generated description
Nutty Noon is a floating, sky-themed world of platforms and structures featured as a stage in the Kirby video game series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nutty Noon Target entity description: Nutty Noon is a floating, sky-themed world of platforms and structures featured as a stage in the Kirby video game series.
-
A.
Nuts in May
Nuts in May is a 1976 British television comedy film directed by Mike Leigh, best known for its satirical portrayal of an eccentric couple’s disastrous camping holiday.
-
B.
No Time for Nuts
No Time for Nuts is a comedic animated short film from the Ice Age franchise featuring the squirrel Scrat in a time-traveling adventure.
-
C.
The Eat Up
The Eat Up is the debut EP by English actor and rapper Ed Skrein, showcasing his early work as a hip-hop artist.
-
D.
The Biscuit Eater
The Biscuit Eater is a 1940 American drama film about a boy and his misfit bird dog, directed by Stuart Heisler and later remade by Disney in 1972.
-
E.
The Song of Lunch
The Song of Lunch is a narrative poem by Christopher Reid that portrays a bittersweet reunion between former lovers over a boozy lunch in London.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad654648190a27521e6e8ea40c5 |
completed | April 20, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c86799c8190844085d482c88ffe |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d8781b48190be4043a3747fd0ef |
completed | May 16, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083f2d7db081908c281445210f551b |
completed | May 16, 2026, 9:55 a.m. |
Created at: April 11, 2026, 11:37 p.m.