Triple

T27791460
Position Surface form Disambiguated ID Type / Status
Subject 2003 Calder Cup playoffs E701091 entity
Predicate mostValuablePlayer P2630 FINISHED
Object Johan Holmqvist
Johan Holmqvist is a Swedish former professional ice hockey goaltender who played in both the NHL and European leagues, notably with the Tampa Bay Lightning and several top Swedish clubs.
E1808489 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: Johan Holmqvist | Statement: [2003 Calder Cup playoffs, mostValuablePlayer, Johan Holmqvist]
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: Johan Holmqvist
Triple: [2003 Calder Cup playoffs, mostValuablePlayer, Johan Holmqvist]
Generated description
Johan Holmqvist is a Swedish former professional ice hockey goaltender who played in both the NHL and European leagues, notably with the Tampa Bay Lightning and several top Swedish clubs.

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_69ef6a50d8088190acbf3dfbb06d8091 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63808280c8190aa654c05ebdeec0e completed May 2, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e68a509c819089d8e24a58874d82 completed May 26, 2026, 6:29 p.m.
NEDg Description generation batch_6a15e7274a8c8190933e53fc3e48158d completed May 26, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_6a15ee46d95481908ce535c3b9557e2f completed May 26, 2026, 7:02 p.m.
Created at: April 27, 2026, 5:28 p.m.