Triple
T4425149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RLlib |
E95190
|
entity |
| Predicate | developedOnTopOf |
P41583
|
FINISHED |
| Object |
Ray
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.
|
E438345
|
NE FINISHED |
How this triple was built (5 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: [RLlib, developedOnTopOf, Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Context triple: [RLlib, developedOnTopOf, 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 a 2004 biographical film about the life and music of legendary rhythm and blues musician Ray Charles.
-
C.
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.
-
D.
Rod
Rod is the nickname of Roderick Langway, a former professional ice hockey defenseman and Hockey Hall of Famer best known for his time with the Washington Capitals.
-
E.
Rob
Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
- 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: Ray Triple: [RLlib, developedOnTopOf, Ray]
Generated description
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.
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 to scale Python applications for tasks like machine learning, reinforcement learning, and data processing across clusters.
-
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 a 2004 biographical film about the life and music of legendary rhythm and blues musician Ray Charles.
-
C.
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.
-
D.
Rod
Rod is the nickname of Roderick Langway, a former professional ice hockey defenseman and Hockey Hall of Famer best known for his time with the Washington Capitals.
-
E.
Rob
Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedOnTopOf Context triple: [RLlib, developedOnTopOf, Ray]
-
A.
developedOn
chosen
Indicates that something was created, built, or produced using a particular platform, technology, or environment.
-
B.
developedUnder
Indicates that something was created, produced, or brought into existence while being subject to the authority, guidance, or conditions imposed by a particular person, organization, regime, or framework.
-
C.
developedWith
Indicates that something was created, built, or produced using a specified tool, technology, method, or collaborator.
-
D.
developedAs
Indicates that one entity was created, designed, or evolved specifically to function as or replace another entity.
-
E.
developedAsPartOf
Indicates that something was created, produced, or evolved as a component or subset of a larger project, system, or initiative.
- F. None of above.
Provenance (6 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554e40ec8190982acc0948da2f42 |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f633a69c8190b062c2a78b0f8319 |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f6bcfa0481909d07ffb2a975a350 |
completed | March 15, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f733c660819081c68dc3ec342e12 |
completed | March 15, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:30 p.m.