Triple
T22650458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | React Router |
E559076
|
entity |
| Predicate | mainDeveloper |
P21964
|
FINISHED |
| Object | Ryan Florence |
—
|
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: Ryan Florence | Statement: [React Router, mainDeveloper, Ryan Florence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Florence Context triple: [React Router, mainDeveloper, Ryan Florence]
-
A.
Ryan Florence
chosen
Ryan Florence is a software engineer and educator best known as a co-creator of the popular React Router library for building client-side routed React applications.
-
B.
Brian Flood
Brian Flood is a former Irish footballer best known for playing as a defender with Shamrock Rovers during the 1980s and early 1990s.
-
C.
Andrew Fikes
Andrew Fikes is a computer scientist and engineer known for his work at Google on large-scale distributed systems, including co-authoring the influential Bigtable paper.
-
D.
Jonathan Foley
Jonathan Foley is an environmental scientist and sustainability expert known for his influential research on global ecosystems, climate change, and solutions for sustainable food and land use systems.
-
E.
Ryan Folsey
Ryan Folsey is a film editor known for his work on the 2023 horror-comedy movie "Renfield."
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703b40b88190aec5cf2fa28bfcbf |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:05 p.m.