Triple
T22330454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PasteScript |
E552008
|
entity |
| Predicate | usedWith |
P4791
|
FINISHED |
| Object |
TurboGears
TurboGears is a Python-based web application framework designed to simplify the rapid development of scalable, database-driven web applications.
|
E1531369
|
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: TurboGears | Statement: [PasteScript, usedWith, TurboGears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TurboGears Context triple: [PasteScript, usedWith, TurboGears]
-
A.
Werkzeug
Werkzeug is a widely used Python WSGI utility library that provides the low-level building blocks for web application frameworks such as Flask.
-
B.
Flask
Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
-
C.
Flask
Flask is a minor but tough and pugnacious third mate aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
-
D.
Twisted Python framework
Twisted Python framework is an event-driven networking engine for Python that simplifies writing scalable, asynchronous networked applications and servers.
-
E.
cherrypy
CherryPy is a minimalist, object-oriented web framework for Python that allows developers to build web applications in a simple and pythonic way.
- 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: TurboGears Triple: [PasteScript, usedWith, TurboGears]
Generated description
TurboGears is a Python-based web application framework designed to simplify the rapid development of scalable, database-driven web applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TurboGears Target entity description: TurboGears is a Python-based web application framework designed to simplify the rapid development of scalable, database-driven web applications.
-
A.
Werkzeug
Werkzeug is a widely used Python WSGI utility library that provides the low-level building blocks for web application frameworks such as Flask.
-
B.
Flask
Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
-
C.
Flask
Flask is a minor but tough and pugnacious third mate aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
-
D.
Twisted Python framework
Twisted Python framework is an event-driven networking engine for Python that simplifies writing scalable, asynchronous networked applications and servers.
-
E.
cherrypy
CherryPy is a minimalist, object-oriented web framework for Python that allows developers to build web applications in a simple and pythonic way.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577a9c348190b8662142afa832be |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad523ecec8190a85eb932288965fb |
completed | May 18, 2026, 9 a.m. |
| NEDg | Description generation | batch_6a0ad992b43c8190b0e409d64db83308 |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0adac48bec8190989dd7c5e28d283a |
completed | May 18, 2026, 9:24 a.m. |
Created at: April 16, 2026, 8:43 p.m.