Triple
T13618975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rainbow Stories |
E325397
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
The Yellow Sugar
The Yellow Sugar is a short story featured within William T. Vollmann’s collection *The Rainbow Stories*.
|
E1051776
|
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: The Yellow Sugar | Statement: [The Rainbow Stories, hasPart, The Yellow Sugar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Yellow Sugar Context triple: [The Rainbow Stories, hasPart, The Yellow Sugar]
-
A.
Sugar on a Stick
Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
-
B.
Pan de Azúcar
Pan de Azúcar is a prominent snow-capped peak in Colombia’s Sierra Nevada del Cocuy, known for its striking glaciated slopes and popularity among high-altitude trekkers and climbers.
-
C.
Sweeting
Sweeting is a surname most notably associated with Bahamian-born American former professional tennis player Ryan Sweeting.
-
D.
Big Sugar
Big Sugar is a Canadian rock band known for its heavy, blues-influenced sound and fusion of rock, reggae, and dub styles.
-
E.
Süßen
Süßen is a small town in the German state of Baden-Württemberg, situated in the Fils Valley and known for its local industry and residential character.
- 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: The Yellow Sugar Triple: [The Rainbow Stories, hasPart, The Yellow Sugar]
Generated description
The Yellow Sugar is a short story featured within William T. Vollmann’s collection *The Rainbow Stories*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Yellow Sugar Target entity description: The Yellow Sugar is a short story featured within William T. Vollmann’s collection *The Rainbow Stories*.
-
A.
Sugar on a Stick
Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
-
B.
Pan de Azúcar
Pan de Azúcar is a prominent snow-capped peak in Colombia’s Sierra Nevada del Cocuy, known for its striking glaciated slopes and popularity among high-altitude trekkers and climbers.
-
C.
Sweeting
Sweeting is a surname most notably associated with Bahamian-born American former professional tennis player Ryan Sweeting.
-
D.
Big Sugar
Big Sugar is a Canadian rock band known for its heavy, blues-influenced sound and fusion of rock, reggae, and dub styles.
-
E.
Süßen
Süßen is a small town in the German state of Baden-Württemberg, situated in the Fils Valley and known for its local industry and residential character.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ae77e0819081e3b14642460dc6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa0b81c819094e2fa209ef9857c |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f783c24d088190ad53fa2d33a255c9 |
completed | May 3, 2026, 5:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78452e8bc8190a55f2be349fe718f |
completed | May 3, 2026, 5:22 p.m. |
Created at: April 9, 2026, 9:50 p.m.