Triple
T4130726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beard |
E85033
|
entity |
| Predicate | associatedWithDraft |
P24663
|
FINISHED |
| Object | 2009 NBA draft |
—
|
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: 2009 NBA draft | Statement: [The Beard, associatedWithDraft, 2009 NBA draft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithDraft Context triple: [The Beard, associatedWithDraft, 2009 NBA draft]
-
A.
hasDraftRelationshipWith
chosen
Indicates a provisional or not-yet-finalized relationship exists between two entities.
-
B.
associatedWithDraftTeam
Indicates that an entity has a relationship with a sports team specifically in the context of a draft, such as being selected by or linked to that team during a drafting process.
-
C.
associatedWithPub
Indicates that an entity has a connection or relationship with a particular publication (e.g., as source, reference, or related work).
-
D.
hasDraft
Indicates that one entity possesses or is associated with a preliminary or unfinished version of another entity.
-
E.
associatedWithText
Indicates that an entity has a contextual or semantic connection to a specific piece of text.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:42 p.m.