Triple
T28508963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rexec |
E721431
|
entity |
| Predicate | hasClientProgram |
P180024
|
FINISHED |
| Object | rexec client |
—
|
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: rexec client | Statement: [Rexec, hasClientProgram, rexec client]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClientProgram Context triple: [Rexec, hasClientProgram, rexec client]
-
A.
hasClient
Indicates that an entity maintains a client relationship with another entity, typically as a provider of goods or services.
-
B.
hasProgramCode
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
-
C.
hasComponentProgram
Indicates that one program includes or is composed of another program as a component or sub-program.
-
D.
hasCalledProgram
Indicates that one program has invoked or executed another program.
-
E.
hasEngineProgram
Indicates that an entity is associated with or participates in a specific engine-related program.
- F. None of above. chosen
Provenance (4 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_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 28, 2026, 3:11 a.m.