Triple
T4555526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slim Framework |
E120467
|
entity |
| Predicate | ecosystem |
P964
|
FINISHED |
| Object |
Slim Flash
Slim Flash is a lightweight flash messaging component designed to integrate with the Slim Framework for handling temporary user notifications between HTTP requests.
|
E452846
|
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 Flash | Statement: [Slim Framework, ecosystem, Slim Flash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slim Flash Context triple: [Slim Framework, ecosystem, Slim Flash]
-
A.
Slim
Slim is the tall, sarcastic stick insect who performs as a reluctant clown in the circus troupe in Pixar's animated film "A Bug's Life."
-
B.
Slim
Slim is a highly respected, compassionate, and insightful mule driver on the ranch in John Steinbeck’s novel "Of Mice and Men," often serving as a moral authority among the workers.
-
C.
Slim
Slim is a lightweight Ruby templating engine known for its minimal syntax and fast rendering performance.
-
D.
SLIM
SLIM is a Japanese lunar lander mission developed by JAXA to demonstrate high-precision, lightweight Moon-landing technology.
-
E.
Flashlight
"Flashlight" is a pop ballad by Jessie J, best known as an inspirational anthem featured in the film Pitch Perfect 2.
- 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 Flash Triple: [Slim Framework, ecosystem, Slim Flash]
Generated description
Slim Flash is a lightweight flash messaging component designed to integrate with the Slim Framework for handling temporary user notifications between HTTP requests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Slim Flash Target entity description: Slim Flash is a lightweight flash messaging component designed to integrate with the Slim Framework for handling temporary user notifications between HTTP requests.
-
A.
Slim
Slim is the tall, sarcastic stick insect who performs as a reluctant clown in the circus troupe in Pixar's animated film "A Bug's Life."
-
B.
Slim
Slim is a highly respected, compassionate, and insightful mule driver on the ranch in John Steinbeck’s novel "Of Mice and Men," often serving as a moral authority among the workers.
-
C.
Slim
Slim is a lightweight Ruby templating engine known for its minimal syntax and fast rendering performance.
-
D.
SLIM
SLIM is a Japanese lunar lander mission developed by JAXA to demonstrate high-precision, lightweight Moon-landing technology.
-
E.
Flashlight
"Flashlight" is a pop ballad by Jessie J, best known as an inspirational anthem featured in the film Pitch Perfect 2.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd5813af948190b10b02dadf6496bf |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc57d59f88190857cbda79caf3c38 |
completed | March 20, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69bdc8a14ca88190b4104c113e150edd |
completed | March 20, 2026, 10:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdc95f7064819081c69df00a869c31 |
completed | March 20, 2026, 10:25 p.m. |
Created at: March 20, 2026, 1:09 p.m.