Triple
T18300567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Serve |
E438347
|
entity |
| Predicate | builtOnFramework |
P2012
|
FINISHED |
| Object | Ray |
—
|
NE NERFINISHED |
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: Ray | Statement: [Ray Serve, builtOnFramework, Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Context triple: [Ray Serve, builtOnFramework, Ray]
-
A.
Ray
Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
-
B.
Ray
Ray is an ancient city near modern-day Tehran in Iran that served as a significant political and cultural center in various Persian empires.
-
C.
Ray
Ray is the optimistic Cajun firefly from Disney’s *The Princess and the Frog*, known for his devotion to his love “Evangeline” and his role in aiding Tiana and Naveen.
-
D.
Ray
Ray is the romantic, Cajun firefly character from Disney’s animated film "The Princess and the Frog," known for his heartfelt song "Ma Belle Evangeline."
-
E.
Ray
Ray is the middle name of American country music singer and actor Kenneth Ray Rogers, better known as Kenny Rogers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ray Target entity description: Ray is an open-source distributed computing framework designed for scaling Python applications across clusters for tasks like machine learning, data processing, and reinforcement learning.
-
A.
Ray
chosen
Ray is an open-source distributed computing framework designed to scale Python applications for tasks like machine learning, reinforcement learning, and data processing across clusters.
-
B.
Ray
Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
-
C.
Ray
Ray is a ruler associated with the House of Buya, known as the sovereign authority over that realm.
-
D.
Ray
Ray is the optimistic Cajun firefly from Disney’s *The Princess and the Frog*, known for his devotion to his love “Evangeline” and his role in aiding Tiana and Naveen.
-
E.
Ray
Ray is an ancient city near modern-day Tehran in Iran that served as a significant political and cultural center in various Persian empires.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtOnFramework Context triple: [Ray Serve, builtOnFramework, Ray]
-
A.
builtOn
chosen
Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
-
B.
isPartOfFramework
Indicates that one entity functions as a component, module, or element within a larger structured framework or system.
-
C.
frameworkFor
Indicates that one entity serves as a supporting structure, system, or basis that organizes, guides, or enables the development or functioning of another entity.
-
D.
frameworkName
Indicates that a specific framework is identified by the given name.
-
E.
createdFrameworkFor
Indicates that one entity developed or established a foundational structure, system, or methodology that another entity later used or built upon.
- F. None of above.
Provenance (3 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017f63dc819083a675d570620f2f |
completed | April 19, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.