Triple
T27735599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EventWaitHandle |
E697519
|
entity |
| Predicate | waitsArePerformedBy |
P163155
|
FINISHED |
| Object | WaitOne() |
—
|
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: WaitOne() | Statement: [EventWaitHandle, waitsArePerformedBy, WaitOne()]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waitsArePerformedBy Context triple: [EventWaitHandle, waitsArePerformedBy, WaitOne()]
-
A.
attendsTo
Indicates that one entity directs care, attention, or service toward another entity or task.
-
B.
performsAt
Indicates that an entity carries out or presents a performance at a specific location, venue, or event.
-
C.
performsAs
Indicates that one entity takes on, enacts, or fulfills the role, function, or character of another entity.
-
D.
hasWaitingList
Indicates that there exists a queue or list of entities waiting for access to, or participation in, the referenced resource, service, or opportunity.
-
E.
eventuallyIn
Indicates that one entity will, at some later time or in the long run, come to be located in, belong to, or be contained within another entity or state.
- 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_69f636a088b8819081e34d416b28cdac |
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.