Triple
T18300487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray |
E438345
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Ray Serve |
—
|
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: Ray Serve | Statement: [Ray, hasComponent, Ray Serve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Serve Context triple: [Ray, hasComponent, Ray Serve]
-
A.
Ray Serve
chosen
Ray Serve is a scalable model serving library built on the Ray framework that enables deploying and managing machine learning models in production.
-
B.
Sanic
Sanic is a high-performance, asynchronous web framework for Python designed for building fast APIs and web applications.
-
C.
Rayber
Rayber is a central character in Flannery O’Connor’s novel "The Violent Bear It Away," serving as the rationalist schoolteacher uncle whose conflict with his prophetic nephew drives much of the story’s tension.
-
D.
Portis
Portis is a surname most notably associated with American novelist Charles Portis, acclaimed for works such as "True Grit."
-
E.
IronWolf
IronWolf is Seagate’s line of hard drives designed specifically for high-capacity, always-on network-attached storage (NAS) systems.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017e88cc8190a969eb628ca1b496 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.