Triple
T27733763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.Threading.Thread |
E697485
|
entity |
| Predicate | ResumeStatus |
P163137
|
FINISHED |
| Object | Resume() is obsolete |
—
|
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Phrase: Resume() is obsolete | Statement: [System.Threading.Thread, ResumeStatus, Resume() is obsolete]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ResumeStatus Context triple: [System.Threading.Thread, ResumeStatus, Resume() is obsolete]
-
A.
applicantState
Indicates the current status or condition assigned to an applicant within a process or system.
-
B.
applicationStatus
Indicates the current state or outcome of an application within its processing lifecycle.
-
C.
careerStatus
Indicates the current stage, position, or condition of an entity within its professional or occupational life.
-
D.
applicantStates
Indicates that an applicant explicitly declares or asserts a particular fact, condition, or piece of information.
-
E.
appliedFor
Indicates that an entity has submitted a request or application to another entity for a position, service, benefit, or opportunity.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6369e16a08190853fdd8ac05800f6 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 3:12 p.m.