Triple
T19585069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Return of the Dream Canteen |
E490086
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
In the Snow
"In the Snow" is a song by the Red Hot Chili Peppers featured on their 2022 double album "Return of the Dream Canteen."
|
E1385154
|
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: In the Snow | Statement: [Return of the Dream Canteen, hasPart, In the Snow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In the Snow Context triple: [Return of the Dream Canteen, hasPart, In the Snow]
-
A.
The Snow
"The Snow" is a symbolist painting by Carlos Schwabe, known for its ethereal, dreamlike atmosphere and allegorical treatment of winter.
-
B.
In the Winter
"In the Winter" is a song featured on the 1973 album *Madness, Money & Music* by Scottish singer-songwriter Sheena Easton.
-
C.
The Field of Snow
"The Field of Snow" is a notable poem by Russian poet Arseny Tarkovsky, recognized for its lyrical depth and philosophical reflection.
-
D.
Las Nieves
Las Nieves is a rural municipality in the Philippine province of Agusan del Norte, known for its agricultural communities and forested interior.
-
E.
The Word for Snow
The Word for Snow is a lesser-known work by American novelist Don DeLillo, reflecting his characteristic minimalist style and thematic interest in language, perception, and contemporary culture.
- 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: In the Snow Triple: [Return of the Dream Canteen, hasPart, In the Snow]
Generated description
"In the Snow" is a song by the Red Hot Chili Peppers featured on their 2022 double album "Return of the Dream Canteen."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: In the Snow Target entity description: "In the Snow" is a song by the Red Hot Chili Peppers featured on their 2022 double album "Return of the Dream Canteen."
-
A.
The Snow
"The Snow" is a symbolist painting by Carlos Schwabe, known for its ethereal, dreamlike atmosphere and allegorical treatment of winter.
-
B.
In the Winter
"In the Winter" is a song featured on the 1973 album *Madness, Money & Music* by Scottish singer-songwriter Sheena Easton.
-
C.
The Field of Snow
"The Field of Snow" is a notable poem by Russian poet Arseny Tarkovsky, recognized for its lyrical depth and philosophical reflection.
-
D.
Las Nieves
Las Nieves is a rural municipality in the Philippine province of Agusan del Norte, known for its agricultural communities and forested interior.
-
E.
The Word for Snow
The Word for Snow is a lesser-known work by American novelist Don DeLillo, reflecting his characteristic minimalist style and thematic interest in language, perception, and contemporary culture.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64050127c8190b93b8716a1a4ad81 |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075f1122a08190961b2c0ae2e9f900 |
completed | May 15, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a075fed0ac4819088569b4854cf1ab9 |
completed | May 15, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a076070784c81908d28306344363c53 |
completed | May 15, 2026, 6:05 p.m. |
Created at: April 10, 2026, 1:42 p.m.