Triple
T27736114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ParameterizedThreadStart |
E697531
|
entity |
| Predicate | supportsAnonymousMethods |
P201288
|
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: [ParameterizedThreadStart, supportsAnonymousMethods, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAnonymousMethods Context triple: [ParameterizedThreadStart, supportsAnonymousMethods, true]
-
A.
usesMethods
Indicates that one entity employs, applies, or relies on specific methods or techniques to perform an action or achieve a result.
-
B.
supportsAnnotations
Indicates that one entity is capable of holding, displaying, or working with annotations associated with another entity or its content.
-
C.
usesAnonymousInspectors
Indicates that an entity employs inspectors whose identities are concealed or not disclosed while performing inspections.
-
D.
supportsAnonymousEditing
Indicates that the subject allows users to make edits or changes without requiring them to be identified or authenticated.
-
E.
supportsAsyncInvoke
Indicates that one entity can initiate and handle asynchronous invocations or operations on another entity.
- 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_69ffe6e2eb688190a45fd2c6415cd86a |
completed | May 10, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69ffe65939488190a35b9c2e9c7ad868 |
completed | May 10, 2026, 1:58 a.m. |
| PDg | Predicate description generation | batch_69ffe6e21f748190a18dfe0878d397f7 |
completed | May 10, 2026, 2:01 a.m. |
Created at: April 27, 2026, 3:12 p.m.