Triple

T38483433
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Clay Redick E917846 entity
Predicate notableAchievement P477 FINISHED
Object NCAA National Player of the Year
The NCAA National Player of the Year is an annual award recognizing the most outstanding men's college basketball player in the United States.
 E2271617 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: NCAA National Player of the Year | Statement: [Jonathan Clay Redick, notableAchievement, NCAA National Player of the Year]
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: NCAA National Player of the Year
Triple: [Jonathan Clay Redick, notableAchievement, NCAA National Player of the Year]
Generated description
The NCAA National Player of the Year is an annual award recognizing the most outstanding men's college basketball player in the United States.

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_69f76e9894208190a129a553a60ca58c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd22426948190be2e18252493f828 completed May 7, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ccc6187881908da45619d521ca28 completed June 29, 2026, 1:39 a.m.
NEDg Description generation batch_6a41d08055408190a4d78648a0dc047f completed June 29, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_6a41d1031f288190b07557545378d586 completed June 29, 2026, 1:57 a.m.
Created at: May 3, 2026, 4:31 p.m.