Triple

T26485362
Position Surface form Disambiguated ID Type / Status
Subject Kenny Walker E664804 entity
Predicate participatedIn P149 FINISHED
Object 1989 NBA Slam Dunk Contest
The 1989 NBA Slam Dunk Contest was an All-Star Weekend event showcasing high-flying dunkers, notably won by New York Knicks forward Kenny "Sky" Walker.
E1727382 NE 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: 1989 NBA Slam Dunk Contest | Statement: [Kenny Walker, participatedIn, 1989 NBA Slam Dunk Contest]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 1989 NBA Slam Dunk Contest
Triple: [Kenny Walker, participatedIn, 1989 NBA Slam Dunk Contest]
Generated description
The 1989 NBA Slam Dunk Contest was an All-Star Weekend event showcasing high-flying dunkers, notably won by New York Knicks forward Kenny "Sky" Walker.

Provenance (5 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_69ee883bc85481909885f92415cbce33 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f612fe5494819094d4efbeefd82049 completed May 2, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb259fa88190b27df38e83bde112 completed May 23, 2026, 2:35 p.m.
NEDg Description generation batch_6a11be60526c8190b073317c2a4e514b completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf3635308190aad4d7a3f35b81df completed May 23, 2026, 2:52 p.m.
Created at: April 27, 2026, 12:30 a.m.