Triple
T816308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FastAPI |
E17658
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
Starlette
Starlette is a lightweight, high-performance ASGI framework for building asynchronous web applications and services in Python.
|
E97056
|
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: Starlette | Statement: [FastAPI, basedOn, Starlette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starlette Context triple: [FastAPI, basedOn, Starlette]
-
A.
Gillian
Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
B.
Billie
Billie is the given name of Billie Joe Armstrong, the American musician best known as the lead vocalist and guitarist of the punk rock band Green Day.
-
C.
Theresa
Theresa is a feminine given name of Greek origin, commonly associated in modern times with figures such as former UK Prime Minister Theresa May.
-
D.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
E.
Lulu
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
- 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: Starlette Triple: [FastAPI, basedOn, Starlette]
Generated description
Starlette is a lightweight, high-performance ASGI framework for building asynchronous web applications and services in Python.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Starlette Target entity description: Starlette is a lightweight, high-performance ASGI framework for building asynchronous web applications and services in Python.
-
A.
Gillian
Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
B.
Billie
Billie is the given name of Billie Joe Armstrong, the American musician best known as the lead vocalist and guitarist of the punk rock band Green Day.
-
C.
Theresa
Theresa is a feminine given name of Greek origin, commonly associated in modern times with figures such as former UK Prime Minister Theresa May.
-
D.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
E.
Lulu
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab621d2c819083f10bff4f66c482 |
completed | March 1, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d8d1a448190be8494fa2776615a |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a78bd0a1d48190907434a17853dfb1 |
completed | March 4, 2026, 1:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a78c3a57d88190a994ed44bcb2d8d1 |
completed | March 4, 2026, 1:34 a.m. |
Created at: March 1, 2026, 7:38 p.m.