Triple

T37975659
Position Surface form Disambiguated ID Type / Status
Subject CFL Coach of the Year E947416 entity
Predicate notableMultipleWinners P6588 FINISHED
Object Dave Dickenson
Dave Dickenson is a former Canadian Football League quarterback and current head coach best known for leading the Calgary Stampeders and earning multiple CFL Coach of the Year honors.
E2256287 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: Dave Dickenson | Statement: [CFL Coach of the Year, notableMultipleWinners, Dave Dickenson]
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: Dave Dickenson
Triple: [CFL Coach of the Year, notableMultipleWinners, Dave Dickenson]
Generated description
Dave Dickenson is a former Canadian Football League quarterback and current head coach best known for leading the Calgary Stampeders and earning multiple CFL Coach of the Year honors.

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_69f76ef7db908190bba6086673a32300 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbe1afc548190a354bb34665c5ba7 completed May 6, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4167f9f9fc8190bc4f12b83a622ec4 completed June 28, 2026, 6:29 p.m.
NEDg Description generation batch_6a41686a4b208190b66dafbfd517866c completed June 28, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_6a416a8db6508190b5dbdbb43f8c2685 completed June 28, 2026, 6:40 p.m.
Created at: May 3, 2026, 4:20 p.m.