Triple
T27736062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ThreadStart |
E697530
|
entity |
| Predicate | relatedDelegate |
P200447
|
FINISHED |
| Object | ParameterizedThreadStart |
—
|
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: ParameterizedThreadStart | Statement: [ThreadStart, relatedDelegate, ParameterizedThreadStart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedDelegate Context triple: [ThreadStart, relatedDelegate, ParameterizedThreadStart]
-
A.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
B.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
C.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
D.
relatedDecree
Indicates that one entity has a decree, order, or formal directive that is connected, associated, or otherwise relevant to another entity.
-
E.
laterRelationWith
Indicates that one entity stands in a temporal relationship to another such that it occurs or exists at a later time than the other.
- 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_69ff8ba3f8248190bbdf8e7ec2b35093 |
completed | May 9, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69ff8b41ba988190a7332e8317d10f09 |
completed | May 9, 2026, 7:30 p.m. |
| PDg | Predicate description generation | batch_69ff8ba329e08190813e728f0d1bd973 |
completed | May 9, 2026, 7:31 p.m. |
Created at: April 27, 2026, 3:12 p.m.