Triple
T4549707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastián Ramírez |
E110131
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Typer |
E426660
|
NE FINISHED |
How this triple was built (2 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: Typer | Statement: [Sebastián Ramírez, notableWork, Typer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Typer Context triple: [Sebastián Ramírez, notableWork, Typer]
-
A.
Typer
chosen
Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), that emphasizes type hints and automatic documentation.
-
B.
typer
Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), the author of FastAPI.
-
C.
Ty
Ty is the first name of American musician and songwriter Ty Segall, known for his prolific work in garage and psychedelic rock.
-
D.
Tukker
Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
-
E.
Tay
The Tay is the longest river in Scotland, flowing through Perth and Dundee before emptying into the North Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f3f8348190868e274ac4df87ce |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb94cab408190956ef333aa810a3b |
completed | March 20, 2026, 9:17 p.m. |
Created at: March 20, 2026, 1:05 p.m.