Triple
T17520011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Typer |
E426658
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | tiangolo |
—
|
NE NERFINISHED |
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: tiangolo | Statement: [Typer, creator, tiangolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tiangolo Context triple: [Typer, creator, tiangolo]
-
A.
tiangolo
chosen
tiangolo is the developer and maintainer of several popular FastAPI-based tools and templates, widely recognized in the Python web development community.
-
B.
Tekton
Tekton is an open-source framework for building cloud-native CI/CD systems on Kubernetes using reusable, declarative pipelines.
-
C.
Toesca
Toesca is an Italian-origin surname best known through Joaquín Toesca, an 18th-century architect influential in colonial Chilean architecture.
-
D.
Tieta
Tieta is a celebrated novel by Brazilian author Jorge Amado that blends social satire, sensuality, and regional life in Bahia through the story of a woman returning in triumph to her conservative hometown.
-
E.
DeLonge
DeLonge is the surname of Tom DeLonge, the American musician best known as the co-founder, guitarist, and vocalist of the rock band Blink-182.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d18c1c81908bb843bbddb44ca1 |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.