Triple
T18531806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slim CSRF |
E452847
|
entity |
| Predicate | usedWith |
P4791
|
FINISHED |
| Object |
Slim 2
Slim 2 is the second major version of the Slim PHP microframework, providing a lightweight foundation for building web applications and APIs.
|
E1333557
|
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: Slim 2 | Statement: [Slim CSRF, usedWith, Slim 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slim 2 Context triple: [Slim CSRF, usedWith, Slim 2]
-
A.
Slim 3
Slim 3 is a lightweight PHP micro-framework for building simple yet powerful web applications and APIs.
-
B.
Slim 4
Slim 4 is a modern, lightweight PHP micro-framework for building fast, minimalistic web applications and APIs.
-
C.
SLIM
SLIM is a Japanese lunar lander mission developed by JAXA to demonstrate high-precision, lightweight Moon-landing technology.
-
D.
Magic Slim
Magic Slim was an American Chicago blues guitarist and singer renowned for his raw, electrifying style and influential recordings with his band the Teardrops.
-
E.
Slim 400
Slim 400 was an American rapper from Compton, California, known for his close association with YG and contributions to West Coast hip hop.
- 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: Slim 2 Triple: [Slim CSRF, usedWith, Slim 2]
Generated description
Slim 2 is the second major version of the Slim PHP microframework, providing a lightweight foundation for building web applications and APIs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Slim 2 Target entity description: Slim 2 is the second major version of the Slim PHP microframework, providing a lightweight foundation for building web applications and APIs.
-
A.
Slim 3
Slim 3 is a lightweight PHP micro-framework for building simple yet powerful web applications and APIs.
-
B.
Slim 4
Slim 4 is a modern, lightweight PHP micro-framework for building fast, minimalistic web applications and APIs.
-
C.
SLIM
SLIM is a Japanese lunar lander mission developed by JAXA to demonstrate high-precision, lightweight Moon-landing technology.
-
D.
Magic Slim
Magic Slim was an American Chicago blues guitarist and singer renowned for his raw, electrifying style and influential recordings with his band the Teardrops.
-
E.
Slim 400
Slim 400 was an American rapper from Compton, California, known for his close association with YG and contributions to West Coast hip hop.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fe35288190977c85ee0bb96264 |
completed | April 19, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050371a00081908cc8745885705b16 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a05051c972c81909518b1cd85aa820b |
completed | May 13, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05056d181881909b803a9c3efc58ba |
completed | May 13, 2026, 11:12 p.m. |
Created at: April 10, 2026, 11:37 a.m.