Triple

T32115771
Position Surface form Disambiguated ID Type / Status
Subject 2010 Winter Olympics opening ceremony E820233 entity
Predicate olympicOathByOfficial P34388 FINISHED
Object Michel Verrault
Michel Verrault is a Canadian official best known for delivering the officials' Olympic Oath at the 2010 Winter Olympics opening ceremony in Vancouver.
E2292486 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: Michel Verrault | Statement: [2010 Winter Olympics opening ceremony, olympicOathByOfficial, Michel Verrault]
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: Michel Verrault
Triple: [2010 Winter Olympics opening ceremony, olympicOathByOfficial, Michel Verrault]
Generated description
Michel Verrault is a Canadian official best known for delivering the officials' Olympic Oath at the 2010 Winter Olympics opening ceremony in Vancouver.

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_69f3490209c881908ec0241476715f15 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b908810c8190bd58d2d0eee21d40 completed May 3, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a799c26e0388190a61eca393e19ddd8 completed Aug. 10, 2026, 9:38 a.m.
NEDg Description generation batch_6a799c9964e0819096dbcc88e71f8d1f completed Aug. 10, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_6a799d04dfa881909b2b99cdea379fbf completed Aug. 10, 2026, 9:42 a.m.
Created at: May 1, 2026, 12:28 a.m.