Triple

T26568971
Position Surface form Disambiguated ID Type / Status
Subject University of Kentucky Athletics Hall of Fame E666768 entity
Predicate notableInducteeExample P32479 FINISHED
Object Valerie Still
Valerie Still is a former American basketball star best known as the all-time leading scorer and rebounder in University of Kentucky history and a standout professional and international player.
E1743596 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: Valerie Still | Statement: [University of Kentucky Athletics Hall of Fame, notableInducteeExample, Valerie Still]
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: Valerie Still
Triple: [University of Kentucky Athletics Hall of Fame, notableInducteeExample, Valerie Still]
Generated description
Valerie Still is a former American basketball star best known as the all-time leading scorer and rebounder in University of Kentucky history and a standout professional and international player.

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_69ee9cfa21c081909e4e36e087debfc6 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f614a1bc9481908b25759bd74dca2f completed May 2, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1213137c548190b1648c17561f83bd completed May 23, 2026, 8:50 p.m.
NEDg Description generation batch_6a1213f91bd48190a894a7bdca8c9447 completed May 23, 2026, 8:54 p.m.
NED2 Entity disambiguation (via description) batch_6a12150ca50881909438084adda62d39 completed May 23, 2026, 8:58 p.m.
Created at: April 27, 2026, 1:56 a.m.