Triple
T8918281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namesys |
E212346
|
entity |
| Predicate | supportProvidedFor |
P16415
|
FINISHED |
| Object | Reiser4 |
E212348
|
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: Reiser4 | Statement: [Namesys, supportProvidedFor, Reiser4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reiser4 Context triple: [Namesys, supportProvidedFor, Reiser4]
-
A.
Reiser4
chosen
Reiser4 is an advanced, next-generation Linux file system designed to improve performance, flexibility, and features such as efficient handling of small files and plugin-based extensibility.
-
B.
Reiser
Reiser is a surname most notably associated with American actor, comedian, and writer Paul Reiser.
-
C.
ReiserFS
ReiserFS is a journaling file system for Linux known for its efficient handling of small files and advanced tree-based storage structures.
-
D.
System 4
System 4 is an early version of Apple’s classic Macintosh operating system used on compact Macs like the Macintosh SE.
-
E.
Repossi
Repossi is a high-end Italian jewelry house renowned for its avant-garde, architectural designs and strong heritage in fine jewelry craftsmanship.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66120eb08190913ab6c42f26ffb8 |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1d0965c81908841fe591283e4a4 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:56 p.m.