Triple
T27735474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ManualResetEvent |
E697517
|
entity |
| Predicate | isManualReset |
P163151
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ManualResetEvent, isManualReset, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isManualReset Context triple: [ManualResetEvent, isManualReset, true]
-
A.
isSelfSynchronizing
Indicates that a process, system, or component can automatically align its timing or state with others without requiring external coordination or control.
-
B.
isManualPlayable
Indicates that something can be performed or operated manually by a person, rather than automatically or by a system.
-
C.
hasManual
Indicates that an entity is associated with a manual that provides instructions or documentation for it.
-
D.
isContinuous
Indicates that a function, process, or relationship changes smoothly without abrupt jumps or breaks over its domain.
-
E.
hasNonManualMarkers
Indicates that a sign or gesture is accompanied by specific non-manual features (such as facial expressions, head or body movements) that contribute to its grammatical or semantic meaning.
- 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.