Triple
T4424980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haskell |
E95186
|
entity |
| Predicate | hasPackageManager |
P182
|
FINISHED |
| Object |
Stack
Stack is a cross-platform build tool and package manager for Haskell that simplifies project setup, dependency management, and reproducible builds.
|
E437228
|
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: Stack | Statement: [Haskell, hasPackageManager, Stack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stack Context triple: [Haskell, hasPackageManager, Stack]
-
A.
Stack Rocks
Stack Rocks is a dramatic coastal rock formation and popular seabird nesting site located along the rugged cliffs of the Pembrokeshire coast in Wales.
-
B.
re: Stacks
"re: Stacks" is a haunting, atmospheric track by Bon Iver known for its sparse instrumentation and emotionally raw lyrics.
-
C.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
D.
STL
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
-
E.
Blocks
Blocks is a Python deep learning framework built on top of Theano that provides modular, reusable components for constructing and training neural networks.
- 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: Stack Triple: [Haskell, hasPackageManager, Stack]
Generated description
Stack is a cross-platform build tool and package manager for Haskell that simplifies project setup, dependency management, and reproducible builds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stack Target entity description: Stack is a cross-platform build tool and package manager for Haskell that simplifies project setup, dependency management, and reproducible builds.
-
A.
Stack Rocks
Stack Rocks is a dramatic coastal rock formation and popular seabird nesting site located along the rugged cliffs of the Pembrokeshire coast in Wales.
-
B.
re: Stacks
"re: Stacks" is a haunting, atmospheric track by Bon Iver known for its sparse instrumentation and emotionally raw lyrics.
-
C.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
D.
STL
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
-
E.
Blocks
Blocks is a Python deep learning framework built on top of Theano that provides modular, reusable components for constructing and training neural networks.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554ca5208190ba2661616dcf071c |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62f7eb88190a02669845126e790 |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f6c8a58481908d7bd3d4cfaf265c |
completed | March 15, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f73f38d481908ad44dfd33de85ca |
completed | March 15, 2026, 12:03 a.m. |
Created at: March 12, 2026, 11:30 p.m.