Triple
T27977288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Joseph Buckner |
E706526
|
entity |
| Predicate | draftLevel |
P163596
|
FINISHED |
| Object | Major League Baseball draft |
—
|
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: Major League Baseball draft | Statement: [William Joseph Buckner, draftLevel, Major League Baseball draft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: draftLevel Context triple: [William Joseph Buckner, draftLevel, Major League Baseball draft]
-
A.
documentationLevel
Indicates the extent or thoroughness to which something is described, specified, or supported by written or recorded documentation.
-
B.
frontLevel
Indicates a relationship where one entity is positioned at or aligned with the foremost or leading level relative to another reference point or structure.
-
C.
niveau
Indicates a relationship where an entity is associated with a particular level, degree, or stage within a scale, hierarchy, or progression.
-
D.
designationLevel
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
-
E.
approvalLevel
Indicates the degree or extent to which one entity formally accepts, endorses, or agrees with another entity or action.
- 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b661b8081908abaf92cde6ab125 |
completed | May 2, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 7:42 p.m.