Triple

T24684405
Position Surface form Disambiguated ID Type / Status
Subject Richard William Kazmaier Jr. E611236 entity
Predicate child P120 FINISHED
Object Patty Kazmaier-Sandt
Patty Kazmaier-Sandt was an American ice hockey player in whose memory the Patty Kazmaier Memorial Award—given annually to the top female college ice hockey player in the United States—was established.
 E1648627 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: Patty Kazmaier-Sandt | Statement: [Richard William Kazmaier Jr., child, Patty Kazmaier-Sandt]
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: Patty Kazmaier-Sandt
Triple: [Richard William Kazmaier Jr., child, Patty Kazmaier-Sandt]
Generated description
Patty Kazmaier-Sandt was an American ice hockey player in whose memory the Patty Kazmaier Memorial Award—given annually to the top female college ice hockey player in the United States—was established.

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_69e2c4d678b081908910f4271627a31a completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40fc39694819080e77a0ecfdbb185 completed May 1, 2026, 2:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a100ffe07e08190b8f4603534daafb9 completed May 22, 2026, 8:12 a.m.
NEDg Description generation batch_6a10136aa8948190b19d212e087b3f35 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a1015013f6c8190be31319e5c05c3f4 completed May 22, 2026, 8:34 a.m.
Created at: April 18, 2026, 3:17 a.m.