Triple

T30647332
Position Surface form Disambiguated ID Type / Status
Subject 1982 Stanley Cup Finals E780157 entity
Predicate runnerUpCaptain P52762 FINISHED
Object Kevin McCarthy
Kevin McCarthy is a former Canadian professional ice hockey defenseman and longtime NHL assistant coach best known for his playing career with the Vancouver Canucks.
E1923681 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: Kevin McCarthy | Statement: [1982 Stanley Cup Finals, runnerUpCaptain, Kevin McCarthy]
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: Kevin McCarthy
Triple: [1982 Stanley Cup Finals, runnerUpCaptain, Kevin McCarthy]
Generated description
Kevin McCarthy is a former Canadian professional ice hockey defenseman and longtime NHL assistant coach best known for his playing career with the Vancouver Canucks.

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_69f224a5d2b481908a6853cd0138e2d7 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a9478808190918446246537dcdd completed May 2, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2863f9bda48190be61d7d58c9ad877 completed June 9, 2026, 7:05 p.m.
NEDg Description generation batch_6a286808a0f08190bafb3042e599b668 completed June 9, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_6a286896d8e48190879f6acc0ed79877 completed June 9, 2026, 7:25 p.m.
Created at: April 29, 2026, 8:29 p.m.