Triple
T27866978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ManualResetEventSlim |
E704381
|
entity |
| Predicate | hasBetterPerformanceThan |
P82889
|
FINISHED |
| Object | ManualResetEvent in many scenarios |
—
|
NE NERFINISHED |
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: ManualResetEvent in many scenarios | Statement: [ManualResetEventSlim, hasBetterPerformanceThan, ManualResetEvent in many scenarios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBetterPerformanceThan Context triple: [ManualResetEventSlim, hasBetterPerformanceThan, ManualResetEvent in many scenarios]
-
A.
isMoreEfficientThan
chosen
Indicates that one entity performs a task or uses resources in a way that achieves the same or better outcome with less time, effort, or cost than another entity.
-
B.
hasHigherThroughputThan
Indicates that one entity can process or transmit a greater volume of work, data, or operations per unit time than another entity.
-
C.
fasterThan
Indicates that one entity moves, operates, or progresses at a higher speed than another entity.
-
D.
hasGreaterNoiseReductionThan
Indicates that one entity provides a higher level of noise reduction compared to another entity.
-
E.
isLessEfficientThan
Indicates that one entity performs a task or uses resources with lower efficiency compared to another entity.
- 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 6:21 p.m.