Triple
T28508964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rexec |
E721431
|
entity |
| Predicate | hasServerProgram |
P8615
|
FINISHED |
| Object | rexecd daemon |
—
|
LITERAL 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: rexecd daemon | Statement: [Rexec, hasServerProgram, rexecd daemon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasServerProgram Context triple: [Rexec, hasServerProgram, rexecd daemon]
-
A.
hasServer
Indicates that one entity functions as or possesses a server that provides services or resources to another entity.
-
B.
hasClientProgram
Indicates that an entity (such as a service, system, or organization) is associated with or uses a specific client program.
-
C.
hasServerComponent
chosen
Indicates that an entity includes, depends on, or is associated with a particular server-side component.
-
D.
hasProgramCode
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
-
E.
hasEngineProgram
Indicates that an entity is associated with or participates in a specific engine-related program.
- F. None of above.
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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: April 28, 2026, 3:11 a.m.